Pathological gambler Essay Example for Free

Pathological risk taker EssayThe dynamics of fun disarray and the risk takers personality profiles were asserted by Dr. Richard Rosenthal, a well known shimmer addiction expert and cited the three criteria in assessing a morbid gambler. These criteria are the individuals feeling of helplessness, guilt and depression, a well developed capacity for selfdeception and the actual exposure to gambling. The individuals physical and hereditary predispositions are also major causes that link gambling addiction to depression that may result to suicide.In terms of physical attributes, a gamblers brain contains a higher level of chemical known as norepinephrine than a normal individual, due to excreted stress and enthusiasm to win the game. Signs and Symptoms To determine the extent of gambling addiction, the American Psychological Association reported different diagnostic criteria (Lieberman, L. 2003). These include the individuals preoccupation with gambling, unmatched good example is a gambler who keeps on reliving his past gambling experiences and planning for his next gambling venture while thinking of shipway on how and where to get money as gambling capital.Tolerance is a gambling addiction criterion in which a gambler needs a greater amount of money to achieve his desired excitement in gambling. Being restless and irritable is a withdrawal symptom when a gambler attempts to cut down his desire to gamble. Escaping from the feeling of helplessness, depression and guilt is a gamblers escape from problems and to relieve his dysphoric mood. A classical port of pathological gamblers include frequent returns to gambling places in order to chase losses.Lying from family members and other people is a symptom that a gambler is concealment his over-involvement with gambling. Illegal acts like fraud, theft and forgery are signs that a gambler is searching for more finances for his gambling addiction. There is a possibility of risking some significant relationshi ps for a gambler to suffice his gambling addiction including his job, career or other growth opportunities (Eadington, W. 2002). There are bailout circumstances wherein a gambler would rely on other people to provide financial assistance for his desperate situation due to gambling.The repeated loss of control to stop gambling is another symptom that an individual is a pathological gambler. Phases of Gambling Addiction Gambling addiction has three shapes of progressive cycle such as triumphant phase, losing phase and the desperation phase. The pattern of gambling addictive behavior is a progressive and downward cycle that may unravel to depression and later on suicide attempt. The winning phase is the time that gamblers experience a series of wins and became optimistic that the streak will continue. The feeling of great excitement will lead the gambler to increase the amount of his bets.The losing phase is the pointedness that a gambler experiences losses and the time that he wil l reminisce his past wins and will kickoff gambling alone, think more on gambling and light borrowing money even with high interest to continue his gambling. The losing phase is the time that gamblers start lying to family and friends, the home life becomes unhappy and restless. Chasing the gamblers losses to win back their losses is a critical point on gambling addiction. Desperation is characterized by increase in the time spent to gamble, alienate family and friends with remorseful feelings.Gamblers may even resort to illegal acts to finance his gambling addiction. This is the period that a gambler experiences despondency, separation and divorce, get inclined to drug addiction, alcoholism and eventually suicidal tendencies. The third and final phase of gambling addiction is the hopelessness phase characterized by emotional breakdown and cannot think and see a way to be out of their gambling predicament. Most gamblers upon reaching the hopelessness phase or the bottom line of t heir gambling addiction will consider suicide as the only solution to their problem.

Peers Essay Example for Free

Peers EssayFor this essay, I researched how peers stinker sour the physical, cognitive, affable and personality development of their insipid friends. In addition to this, my research also include ways the parent-child relationships can have more or less influence on an adolescent. Peer pressure is a specific instance of social influence, which typically produces conformity to a particular way of acting or thinking, states Jeffrey Lashbrook, professor of Sociology at State University of New York College (Lashbrook, 2000, pg. 1).Even when just considering the time adolescents spend with their peers, it unfeignedly shouldnt be too surprising the impact and influence adolescent peers can have on one another. Cross-behavior analyses of five activitiesalcohol consumption, cigarette smoking, marihuana use, tobacco plug and the adolescents introduction to sex were analyzed in a longitudinal ingest conducted by The National Longitudinal con of Adolescent Health. The take apart found that adolescents were twice as likely to engage in a risk behavior if their friend engaged in it also. The study found that peer influence can be both beneficial and harmful.In the use of cigarettes and marijuana, there was only influence to initiate the behavior. However, for alcohol consumption, the study showed that there was equal influence to conform to friends who drank and to conform to friends who did not drink. Whereas with tobacco chewing, there was shown to be significantly more peer pressure to stop chewing than to begin chewing. This was used as evidence that teens also can protect their peers in risk activities. One of the results the study showed was, not too surprisingly, that best friends were more influential than close peers.The study concludes to say that peer influence is a real phenomenon that takes on varying roles across adolescent risk behavior (Maxwell, 2000, p. 1). This includes the physical, cognitive, social and personality development of the teen. As far as the ways parent-child relationships have more/less influence, I read some additional research in this specific area. In research conducted by Barnes, Hoffman, Welte, Farrell and Dintcheff, (Barnes, 2006), 6 sets of data were analyzed including interviews of 506 adolescents to determine how parental support and monitoring influenced adolescent behavior.The results of the study concluded that impressive parenting and adolescents avoidance of associations with delinquent peers proved to be important factors which correlate with the decrease of alcohol misuse, other substance use, and delinquency (Barnes, 2006). Some studies I read by dint of seem to reiterate that parents often wait for the right time to influence adolescents. However, in reading through the various research, it seems to indicate that those parents who remain open to conference with their children all along will have greater influence in their adolescents choices.For example, in an article I read titled, Parents Communication with Adolescents about Sexual Behavior A Missed Opportunity for Prevention, (Eisenberg, 2006), it stated that parents often wait to talk to their teens about sex at the time they know their adolescent is in a romantic relationship. However, the article examined how it is not parallel when the teen stated they had their first sexual experience and when the parent(s) states they conceptualise their teen will or has had his or her first sexual experience.In the various readings I have researched for this essay, I have seen this to be the case with most things in general. Often the parents believe the adolescent doesnt know or hasnt experienced various things when the teen states they have. The research I have read does indicate that peers can influence their adolescent peers in a variety of ways depending upon other factors. In the research I have also found that how a parent can influence their adolescent usually begins a long time before they are adolescents a nd can vary from person to person.

Alternative Volatility Forecasting Method Evaluation

Alternative Volatility Forecasting Method EvaluationFor many monetary market applications, including substitute(a) pricing and investment decisions, capriciousness apprehending is crucial. Therefore, the research of irritability forecast has been an active ara of study since the one-time(prenominal) years. In recent years, the emergence of many financial time serial methods for irritability forecasting has proved the importance of down the stairsstanding the nature of volatility in any financial instruments.Often, people will think price is use as an power of the fund market performance. Due to the non-stationary nature of price series of the melodic line market, almost researchers actually transformed series of price budge (return) or absolute price changes (absolute return) in their studies. There is a difference between the term return and the term volatility. The term volatility is utilize as a crude measure of the total risk of financial assets. Actually, vol atility is the standard deviation or the random variable of returns whereas return is me desire the changes of prices.An increasingly unremarkably adopted tool for the measurement of the risk exposure associated with a particular portfolio of assets cognize as Value at Risk (var) involves calculation of the expected losses that might solution from changes in the market prices of particular securities (Jorion, 2001 Bessis, 2002). Thus, the VaR of a particular portfolio is defined as the maximum loss on a portfolio occurring in spite of appearance a specified time and with a habituated (small) probability. Under this approach, the validity of a banks internally idealed VaR is backtested by comparing actual day by day trading gains or losses with the estimated VaR and noting the number of exceptions occurring, in the sense of days when the VaR estimate was insufficient to cover actual trading losses, with concerns course arising where such exceptions frequently occur, and that can result in a range of penalties for the financial institution concerned (Sa chthonics Cornett, 2003).A crucial parameter in the death penalty of parametric VaR calculation methods is an estimate of the volatility parameter that describes the asset or portfolio, or more accurately a forecast of that volatility where the simplifying speculation of constancy is relaxed and time-varying volatility is acknowledged. While it has long been recognized that returns volatility exhibits clustering, such that large (small) returns follow large (small) returns of random sign (Mandelbrot, 1963 Fama, 1965), it is only following the introduction of the generalized autoregressive conditional heteroskedasticity (GARCH) model (Engle, 1982 Bollerslev, 1986) that financial economists have modeled and forecast these temporal dependencies development econometric techniques, and a variety of adaptations of the basic GARCH framework ar now widely use in modeling time-varying volatility. In particu lar, the significance of asymmetric effects in stock index returns has been widely documented, such that candor return volatility increases by a greater amount following positive shocks, usually associated with the leverage effect, whereby a firms debt-to- truth ratio increases when equity comforts decline, and holders of that equity perceive future income streams of the firm as being more risky (Black, 1976 Christie, 1982). Such magnetic variation asymmetry has been successfully modeled and forecast in a variety of market contexts (Henry, 1998) apply the threshold-GARCH (TGARCH) model (Glosten et al., 1993), and the exponential function-GARCH (EGARCH) model (Nelson, 1991) in particular.Problem StatementWhile risk management practises in financial institutions often rely on unanalyzabler volatility forecasting approaches based on heuristics and moving average, smoothing or RiskMetrics techniques, symmetric and asymmetric GARCH models have alike recently begun to be considere d in the VaR context. However, the standard GARCH model and variants within that class of model impose rapid exponential decay in the effect of shocks on conditional version. In contrast, observational evidence has suggested that volatility tends to change slowly and that shocks take a considerable time to decay (Ding et al., 1993). The fractionally integrated-GARCH (FIGARCH) model (Baillie et al., 1996 Chung, 1999) has wind a popular means of capturing and forecasting such non-integrated but highly persistent long remembering dynamics in volatility in the recent empirical literature, as well as its exponential (FIEGARCH) variant (Bollerslev Mikkelsen, 1996) which parallels the EGARCH extension of the basic GARCH form, and therefore provides a generalization capable of capturing both the volatility asymmetry and long memory in volatility which be potential characteristics of emerging equity markets.Research ObjectivesThis paper therefore seeks to extend preliminary research c oncerned with the evaluation of alternative volatility forecasting methods under VaR modeling in the context of the Basle Committee criterion for determining the adequacy of the resulting VaR estimates in two ways. First, by broadening the class of GARCH models under consideration to include more recently proposed models such as the FIGARCH and FIEGARCH representations described above, which argon capable of accommodating potential fractional integration and the associated long memory characteristics of return volatility, as well as the more simplistic and computationally less intensive methods commonly used in financial institutions. Second, extending the scope of previous research through evaluative application of these methods to mundane index entropy of nine stock market indexes.Significance of this studyThe extensive research of volatility forecasting plays an important role for investment, financial risk management, security valuation, and also business decision-making proc ess. Without a proper forecasting tools and research on this field, many financial decision making process will be difficult and risky to be implemented. The positive contribution of volatility forecasting in the field of pay is no doubt a fact as it given many practitioners a mean of guidelines to estimate their management risk such as option pricing, hedging and estimating investment risk.Therefore, it is crucial to study on the performance of opposite approaches and methods of forecast model to determine the best suitable practical application for divers(prenominal) situation. The most common form of financial instrument is the stock market. The stock indices consist of a particular countrys most prominent stocks. Thus, in this study our forecast is to focus on forecasting the stock indices volatility of eight different stock indices that provide us the ability to test the forecast approaches.There are quite a number of forecast models since the recent years. However, the new concern is on the performance of these forecast model when incorporated with higher absolute frequence info with the agnise volatility method. There are still gap for researching the intra-day selective information effects on forecasting model which is comparative new as compared to casual data volatility forecasting. The significant role of this study also include whether intra-day data can really help at improving the performance of forecast model to estimate volatility for the stock index.Review of ChaptersIn this proposal, the report is mainly subdivided into three chapters. Chapter 1 is about the overview of this research which includes the background of the study, the research objective, fuss statement, and the significance of this study. Chapter 2 presents the literature review of volatility forecasting, GARCH models, exponentially smoothing and realized volatility.CHAPTER 2 LITERATURE REVIEW2.1 Volatility forecastingVolatility forecasts are produced by either market-ba sed or time-series methods. Market-based forecasting involves the calculation of implied volatility from current option prices by solving the Black and Scholes option pricing model for the volatility that results in a price equal to the market price. In this paper, our focus is on the development of a new time series method. These methods provide estimates of the conditional variance, 2t = var(rt It-1), of the record return, rt, at time t conditional on It 1, the information set of all observed returns up to time t 1. This can be viewed as the variance of an error (or residual) term, t, defined by t = rt E(rt It 1 ), where E(rt It 1 ) is a conditional mean term, which is often assumed to be zero or a constant. t is often referred to as the price shock? or news?.2.2 Overview of standard volatility forecast model2.2.1 GARCH modelGARCH models (Engle, 1982 Bollersle, 1986) are the most widely used statistical models for volatility. GARCH models express the conditional variance as a linear function of lagged shape error terms and lagged conditional variance terms. For example, the GARCH(1, 1) model is shown in the following expression2t = + 2t 1 + 2t 1,where , , and are parameters. The multiperiod variance forecast, , is calculated as the sum of the variance forecasts for each of the k periods making up the holding periodwhere is the one-step-ahead variance forecast. Empirical results for the GARCH(1, 1) model have shown that often (1 ). The model in which = (1 ) is term integrated GARCH (IGARCH) (Nelson, 1990). exponential function smoothing has the same grammatical construction as the IGARCH(1, 1) model with the additional restriction that = 0. The IGARCH(1, 1) multiperiod forecast is written asStock return volatility is often found to be greater following a negative return than a positive return of equal size. This leverage effect has promted the development of a number of GARCH models that allow for asymmetry. The first asymmetric formulati on was the exponential GARCH model of Nelson (1991). In this log formulation for volatility, the impact of lagged shape residuals is exponential, which may exaggerate the impact of large shocks. A simpler asymmetric model is the GJRGARCH model of Glosten et al. (1993). The GJRGARCH(1, 1) model is given by,where , , , and are parameters and I. is the indicator function. Typically, it is found that , which indicates the presence of the leverage effect. The assumption that the median of the distribution of t is zero implies that the expectation of the indicator function is 0.5, which enables the derivation of the following multiperiod forecast expressionGARCH parameters are estimated by maximum likelihood, which requires the assumption that the standardized errors, t / t, are independent and identically distributed (i.i.d.). Although a Gaussian assumption is common, the distribution is often fat tailed, which has prompted the use of the Student-t distribution (Bollerslev, 1987) and the generalized error distribution (Nelson, 1991).Stochastic volatility models provide an alternative statistical volatility modelling approach (Ghysels et al., 1996). However, estimation of these models has proved difficult and, consequently, they are not as widely used as GARCH models. Andersen et al. (2003) show how nonchalant transfigure rate volatility can be forecasted by fitting long-memory, or fractionally integrated, autoregressive and vector autoregressive models to the log realized day by day volatility constructed from half-hourly returns. Although results for this approach are impressive, such high frequency data are not available to many forecasters, so there is still great interest in methods apply to everyday data. A useful review of the volatility forecasting literature is provided by Poon and Granger (2003).2.2.2 Exponentially SmoothingExponentially heavy Moving Average (EWMA) is simple and well-known volatility forecast method. The method is based on the si mple average of past square residuals to estimate its variance forecasts. The EWMA allows the latest observations to have a stronger weighted impact on the volatility forecast of past data observations. The equivalence for the EWMA is shown and written as exponential smoothing in recursive form. The parameter is the smoothing parameter.The parThere is no proper guideline or statistic model for exponential smoothing. Generally, literature suggested using reduction in the sum of in-sample one-step-ahead estimation of errors (Taylor, 2004 cited from Gardner, 1985). In RiskMetrics (1996), volatility forecasting for exponential smoothing is recommended to use the following minimisationIn the above equation, 2t is the in-sample form error which acted as the proxy foractual variance whereby it is express to be not observable. By using 2t as a proxy forvariance, the actual squared residual, 2t, is said to be biased and noisy. In Andersenet al. (1998), the research showed the evaluation of variance forecasts using bring in volatility as a more accurate proxy. The next section would discuss more on the literature of realised volatility. The work of high frequency data for realised volatility in forecast evaluation can be applied in parameter estimation for exponential smoothing with the following minimisation expression.2.2.3 Realised volatilityThe recent researchs interest in using a comparative volatility estimator as an alternative has emerged a significant literatures on volatility models that incorporated high frequency data. One of the emerging theories for a comparative volatility estimator is the so called agnise Volatility. Realized volatility is referred as the volatility calculated using a short period time series or using higher frequency periods. In Andersen and Bollerslev (1998) showed that high frequency data can be used to compute daily realize volatility which showed a better true variance than the usual daily return variance. This concept is ad opted in Andersen, Bollerslev, Diebold Labys (2003) to forecast the daily stock volatility which found that the additional intraday information are provide better result in forecasting low volume and up market day.The application of realized volatility has also been occupied by Taylor (2004) in parameters estimation for weekly volatility forecasting using realised volatility derived from daily data. An encouraging result were showed by using the smooth transition exponential smoothing method whereby the research used eight stock indices to compare the weekly volatility forecast of this method with other GARCH models (Taylor, 2004). The concept of realized volatility has been employed by many researchers in forecasting of many other financial assets such as foreign exchange rates, individual stocks, stock indices and etcetera.One of the primordial application of realized volatility concept has used spot exchange rates of Deutschemark-US dollar and Japanese Yen-US dollar to show th e superiority of using intraday data as realized volatility measure. The sum of squared five-minute high frequency returns incorporated in the forecasting model proved to outperform the daily squared returns as a volatility measure (Andersen et al., 1998). Another similar study done by Martens (2001) has adopted realized volatility in forecasting daily exchange rate volatility using intraday returns. The results showed that using highest available frequency of intraday returns leads to superior daily volatility forecast.Furthermore, realized volatility approach has also been blanket(a) to studies for risk and return trade-off using high frequency data. In Bali et al. (2005), the research provided strong positive correlation between risk and return for stock market using high frequency data. The usage of daily realized which incorporated valuable information from intraday returns produce more accurate measure of market risk. In addition to this study, Tzang et al. (2009) as applied the realized volatility approach as a proxy for market volatility rather than squared daily returns to assess the efficiency of various model based volatility forecast.Finally, the findings from a research done by Andersen, Bollerslev, Diebold Labys (2001) shown that realized volatility in certain conditions is costless for measurement error and unbiased estimator for return volatility. The proven research has prompted many recent works in forecasting intra-day volatility to applied realized volatility for their studies. This can be observed in McMillan Garcia (2009), Fuertes et al. (2009), Frijns et al.(2008) and Martens (2001). Many researchers exploit the advantage of realised volatility as an unbiased estimators measure for intra-day data and also as a simplified way to incorporated additional information into other forecast models.McMillan et al. (2009) utilised realised volatility to capture intraday volatilities itself as fence to most researchers that uses realised volat ility for daily realised approach. The study showed Hyperbolic Generalized Autoregressive Conditional Heteroscedasity (HYGARCH) as the best forecast model of intra-day volatility.2.3 Forecast Models used in this studyThe forecast models that are presented in this study includeRandom Walk (RW)30 days Moving Average (MA30)Exponentially Weighted Moving Average (EWMA) with =0.06 (RiskMetrics)Exponentially Smoothing with optimised (ES)Integrated General Autoregressive Conditional Heteroskedastic using daily data (IGARCH)Exponentially Weighted Moving Average (Riskmetrics) on daily realised volatility calculated from intraday data. (EWMA-RV)Exponentially Smoothing with optimised on daily realised volatility calculated from intraday data. (ES-RV)General Autoregressive Conditional Heteroskedasticity model with intraday data using realised volatility approach (INTRAGARCH)Integrated General Autoregressive Conditional Heteroskedasticity with intraday data using realised volatility approach (I GARCH)General Autoregressive Conditional Heteroskedasticity with daily realised volatility (RV-GARCH)CHAPTER 3 DATA AND METHODOLOGY3.1 Sample selection and description of the studyVarious comparative forecast models are used in order to value the performance of incorporating intraday data. This study used dataset from nine stock indices include Malaysia (FTSE-BMKLCI), Singapore (STI), Frankfurt-Germany (DAX30), Hong Kong (Hang Seng Index), London-United Kingdom (FTSE100), France (CAC40), Shanghai-China (SSE), Shenzhen-China (SZSE), and United States (SP 100). These series consisted of daily closing prices and also the intraday hourly cultivation price of their respective indices.The daily closing prices were retrieved using DataStream Advance 4.0? and also from Yahoo Finance (http//finance.yahoo.com). Whereas, the hourly intraday last prices of these stock indices were retrieved from Bloomberg Terminal from Bursa Malaysia. Each stock index has their respective trading hours last pr ice which produced a different number of observations for each series. The total number of trading hours within the day differed among different stock index.However, the sample period used in this study spanned approximately for 300 trading days, from 15 October 2009 to 15 March 2011. In order to simplify the study, the focus is based on a one-step-ahead volatility forecast. The first 200 trading days log returns were applied to estimate the parameters for various forecast models which is known as the in-sample forecast. The remaining 100 trading days log returns were used for post-sample evaluation. This study aimed to forecast volatility in daily log returns for various forecasting methods and used daily realised volatility as proxy for actual volatility. The next subsections presented the data description and the 10 forecast methods which will be considered in the study.3.2 Data Analysis3.2.1 Forecasting MethodsThis subsection describes the methodology to forecast the in-sample a nd out-sample performance of various forecast models. The forecast model includes Random Walk (RW), Moving Average, GARCH models, and Exponential smoothing techniques.3.2.1.1 Standard volatility forecast model using daily returnsThis project paper adopted the simple moving average of squared residuals from the recent past 30 daily observations which is labelled as MA30 and the Random Walk (RW) for the standard volatility forecast model as performance benchmark. The 30 day simple moving average is given byWhereby, 2 = (rt )2 shown in the previous section. The moving average is able to smooth out the short running fluctuations and strain on the long run trends or cycles through a series of averaging different subsets of datasets.On the other hand, the Random Walk (RW) is explained as the forecast result is equal to the actual value of the recent period. The actual value in this study used is the squared residual denoted as, 2t. The equation is as shown below?Tomorrows forecasted val ue = yesterday actual value ()3.2.1.2 GARCH models for hourly and daily returnsThere are many different GARCH models for forecasting volatility that can be included in this research. However, the consideration in this study is limited to 2 forecast GARCH models which are the GARCH and IGARCH for practicality. The GARCH models in this study have applied GARCH (1, 1) specifications. The three forecast model used were labelled as IGARCH, INTRA-IGARCH, and INTRA-GARCH models.The IGARCH model is estimated using daily residuals as daily data is easily obtained from the source mentioned above. The general IGARCH forecast model used is given by?? ?But, the parameter estimate generate by EVIEW 7 will be using the following expression? ? ?? ?However, the INTRA-IGARCH and INTRA-GARCH models used hourly residual data to estimate the forecast for daily realised volatility. The forecast for volatility of these models over an N-trading hours span period would be recognised as the forecast of daily volatility. The N trading hours span period is dependent on the trading hours of a specified stock index. In order to calculate the daily realised volatility, the equation is for N trading hours in a day for a particular stock index is given byWhere period i is the higher frequency of hourly data and the 2t, is the squared residual of the particular hour. For example, if KLCI index has a 7 trading hours per day, the realised daily volatility is calculated from the sum of squared residual of these 7 hours. Additionally, forecast models such as INTRA-IGARCHand INTRA-GARCH applied equation 3 to obtain the daily realised volatility by replacing the squared residual, 2t with values that is forecasted using these models.3.2.1.3 GARCH model using realised volatilityThe GARCH model can be estimated using daily realised volatility which isderived from the hourly squared residual with equation 3. In order to apply RV forGARCH forecast model, equation 3 has to be modified to be squared root t o be ableto obtain the parameter estimates that is needed using EVIEW 6. The equation is asfollowAs for this project paper, the GARCH model that used daily realised volatility asinput data is labelled as RV-GARCH.3.2.1.4 Exponential smoothing and EWMA methodsThe forecast model for exponential smoothing method has been implementedinto two approaches. The first is by using minimisation of equation 3 to optimise theparameter and it is labelled as ES for this project paper. The actual value (squaredresidual), 2t is obtained from the daily data. The second approach which is said to bethe better proxy variance forecast has applied equation 4 for the minimisation. Theforecast model for this exponential smoothing method is termed as ES-RV whichadopted daily realised volatility from hourly data.Apart from that, the study also considered the smoothing parameter as a fixed value of 0.06 as recommended by RiskMetrics (1996) for model using daily data and daily realised volatility data derived from hourly data. The forecast model is termed as EWMA and EWMA-RV respectively. By using equation 2 as shown previously, the EWMA used daily squared residual as 2t 1 parameter input while the EWMA-RV used the daily realised volatility as the 2t 1 parameter input.3.3 Research Design (Gantt Chart)JulAugSepOctNovDecJanFebMarLiterature ReviewMethodologyResearch proposalData collectionData analysisDiscussion and conclusion

What Is Deficit Financing?

What Is shortage Financing?7.1 Elaborate what you understand by shortfall backing.What do we mean by deficit financial backing this is a strategy or ways to management of coin which when slide bying is much than collected at the same point of time. In parade linguistic process this is referred to budget deficit, this approach is use in business that is small, household budgets, in corporations and also in, governances sector mostly in all the direct. If deficit financing is used in the right way it allow for help to launch a chain of the event and this provide help in financing line instead of any debt may cause enigma or difficult to pay. Mostly common or know example of regime deficit financing is how the organization stimulate the providence of that country or nation to put a stop to any recession that country is facing. The government has a grade aside a plan which pass on involved using borrow resources to purchase, the government can use different strategy l ike increasing use up output for product in all business sector of that nation. It also helps in the motivation of many business in order for them to hire more employees and it bequeath reduced the level of unemployment in the country during the period of recession. Further more, the consumer confidence and trust willing be restored in the market place because of the synthetic rubber transformation, and these make it safe for the buyer to buy more goods and services. If the economy of a country in closely looked into and the deficit financing is carefully monitored, it will rent back economy stability in the country over short period of time like few month or few years. deficit spending in economic does not only occurred in the government sector only but also in all business as well A company may plan to spend a certain amount of money as a kind of upfront opinion that they will be able to generate the fund back for investment .An investor or company owner may decide to buy a young machine for the company production with the hope that a new machine will hasten and make the production of goods in a less period of time with larger unit of goods, and with less cost. This kind of idea or strategy in business help the business to flourish and the manufacturer will be able to pay off his debt and ca-ca budget surplus instead of deficit, the owner of the business will be debt free and enjoy the surplus.7.2 The limitations of Deficit financing organism an instrument of economic development.In any given economy, there is a kind of between the government, project output There is continuously a time lag between Govt. investment and the output from the projects. If the government prints more money out it will cause inflation in that economy and this site usually affected the poor people in that golf club. The rich will be richer and the poor will be poorer. The buyer straight will be reducing to greater level and the businessmen profit margin will increase. In any society there is always the people that have and those who do not have so any increase made in price domestics goods leads to importation of cheap goods and the domestic goods high price will reduced the export. This in turn leads to adverse in balance of payments. Never the less this will affect the cost of the production because the raw material used in process of production has being increased, so the goods will be increased as well, perhaps it will definitely reflect on contrary investment, it will be less attracted by other country.Listed below are the disadvantages of deficit financing and some other cogent reasons to be alert well-nigh a National debt.The engagement Payment.In a society people do not lend to the government with the charity. Government must pay interest on every debt they are involved in just like any one in the society, it was recorded that last year government exhausted the sum of 31 billon on interest payments alone. Looking at this in a perspective manner it will equate to 15 p on income tax. This amount is more than what UK spends on National Defense. The government borrowing for the year 2007/08 going to be 42 billion same amount the government pays in interest.The Crowding Out.The government debt always affect the private sector because they sell bond to the private sector in order for the government to borrow money and this in turn lead to less private investment because the government has bombard them with the bonds. Also the private spending is more efficient than the government level of spending because the government result to wasteful spending .this is what we called crowing out, the private investor is crowded out with government bonds because the government needs to borrowthe financial displace out.The financial crowding out is when the government want to borrow large sum of money and they tried to increase the interest rate on bonds in order to attract many lender. The bonds rate is increased this will definitely put pressure on the interest rate generally, in order words this increase in the interest rate will affect the economy of that country because people will reduced their way of spending, investment level will be low and later run the economy growth will be low.The tax rises for the future.The tax rises for the future look into how the public sector debt is being paid. Any increasing public sector debts indicated that the future taxpayer will be the one to bear the burden by paying the bill. No matter the situation of the public sector debt reduced or not, the future taxpayer will be the one to pay the interest on the debts. Further this will a problem because, has it was mentioned above, changing of demographics show that government finances is usually placed under pressure, though without borrowing from at that moment of time.Limits Fiscal PolicyIn a normal situation the government should be able expand the fiscal policy in a situation where the economy is facing problem or recessi on. When a government has urge public debt they tried to reduced the scope by lowering tax in order to enhance demand. Then government must increase taxes and cut their spending in order to meet up with the budget .this is advisable because of the existing problems in the market economy.7.3 Suggested recommendations to eliminate a federal deficitIn summary, I like to recommend these three-step formulas for prosperity1) Elimination of federal taxes.It will good to cancel government taxes because when the citizen gives money to the government is just like throwing coals to Newcastle. Government is the maker of money, they are the producer that has no limitation to their production. . When the citizen sends taxes to the government, they just used it to pay debt. When you send your tax money to the government, the government simply uses it to pay down debt. When paying down debt it destroys the economy money in a given society. In order words taxes damaged money in the society.More so, the federal tax system is a waste of resources, it will be good if the government can spend the billions of dollars spent on compliance on production of useful goods for citizen and this will ease the problem of the economy and the people. Visualize millions of people shoveling dirt into a hole, while millions more shovel it out. That is our tax system.The first suggested tax that should be eliminated is the Medicare taxes and Social Security taxes. These will be politically popular also regressive taxes directly impact businesses on low and the middle income people. That politician that ends FICA will becomes a hero.This will give federal government the opportunity to create money to support retirement and health care sector.2) Elimination of federal borrowing.Government being a producer of money, an established government will not need to borrow money. These are inefficient they are harmful, the exercise which provides no economic benefit. The Federal government borrowing provid es semantic impression that government is in debt, and people it find repugnant.If there no borrowing there would not be debt.3) Establishing a national, money-supply goal.It is good to organize a congress, a congress that will look into the checking account called money created, They will add money to this account when needed. They will write checks and make a kind of transfers from the bullion Created account in payment for all goods and services.This will be the suggested system for federal money creation in our economy. The congress will be the one to determine on how much money to be added to the Money Created account, however giving Congress power over money creation. Thus, the Federal will continue to control the interest rates and inflation.The congress will spend what is necessary on retirement, the military health care, crime prevention, education, the infrastructure, and other national needs.The country will be free the tyranny of semantics and the problem of federal deb t. This society prosper has rapid growth in their economy.

How Television Viewing Affects Children Education Essay

How Television Viewing Affects Children Education Essay Television is whizz of the greatest inventions of all fourth dimension. Through television system we acquire witnessed history in accredited time. The technology of television has broadened our horizons by bringing faraway places into our homes, revealing the diversity of science and nature, and exposing us to sights and sounds that we tail assembly only dream about. Television has the power to inform, inspire, and unite. As adults, we atomic number 18 aware of the mesmerizing effects of television. Television has become a staple in our lives. In fact, most of us have televisions in either room of our house. The average family has the television on for 6.2 hour s each day. As adults, television can influence what we buy, where we go, and what we eat. With the television having such an impact on our lives, it is bound to have an effect on our babyrens lives. Todays children are exposed to violence, sex, and drugs through television. How lots does television influence children? We are able to pull back informed stopping points and register the ramifications of our actions, but children are not. So, is television viewing harmful for children? This has been the question and debate for parents since the television was first introduced in the 1940s. To make an informed decision, it is important for us to ascertain the positive and negative effects of television viewing for children. With the recent explosion in satellite and digital TV, we now have access to a plethora of both salutary and bad quality content. Parents should seek out good quality TV and whenever possible, enjoy them together as a family. Some studies manoeuvre that television viewing properly used in moderation can stimulate a childs education and creativity. Television today offers children a wide revolution of wonder, amusement, and education. The mysteries of the deep sea, the wonders of outer space and the animal varieties in the natural world can delight children and stimulate their imagination without exposing them to any danger. Kids may be socialise for hours with designs that engage their sense of seeing and hearing. Parents are able to go about their daily routines at home, knowing that their children are safe and occupied in one location. Programs designed to teach children such as Sesame Street and Dora the ExplorerExpose Children to vocabulary, math, science, history, art and diversity before they go to school. Because of its ability to create unchewable touchstones, TV enables young people to share cultural experiences with others. T.V. can teach children important values and life lessons. News, events, and historical programming can help oneself make young people more(prenominal) aware of other cultures and people. Television viewing is also beneficial for the family. Shared viewing gives family members of all ages an opportunity to make it time together. Despite its advantages, too muc h television can be detrimental. Children under 6, including two-thirds of infants and toddlers, witness an average of 2 hours a day. Kids and teens 8 to 18 years spend nearly 4 hours a day in front of a TV screen, and almost 2 additional hours on the computer and playing characterization games. The American Academy of Pediatrics recommends that kids under 2 years old not watch any television and that those older than 2 watch no more than 1 to 2 hours per day. The first 2 years of life are considered a critical time for brain development. TV and other electronic media can get in the way of exploring, playing, and interacting with parents and others, which encourages learning and healthy physical and social development. As kids get older, too much screen time can interfere with activities such as being physically active, reading, doing homework, playing with friends, and spending time with family. Children who consistently spend more than 4 hours per day watching television are mor e likely to be overweight. Health experts have long linked excessive TV watching to obesity. While watching TV, kids are trifling and tend to snack. Theyre also bombarded with ads that encourage them to eat unhealthy foods. The problem isnt just how long children are watching TV but, what they are watching. The average American child will witness 200,000 violent acts on television by age 18. Kids may become desensitized to violence and more aggressive. TV violence is often perpetuated by the good guys as fun and an effective way to get what they want. schoolgirlish kids are particularly frightened by scary and violent images. Behavior problems, nightmares, and bother sleeping may be a consequence of exposure to media violence. TV is full of programs and commercials that depict risky behaviors ,such as sex and substance abuse,risky and fun. For example, studies have shown that teens who watch lots of versed content on TV are more likely to initiate intercourse or participate in o ther sexual activities earlier than peers who dont watch sexually explicit shows. A recent study by the Center on Alcohol Marketing and Youth found that offspring exposure to alcohol ads on TV increased by 30% from 2001-2006. As mentioned earlier, parents should search for high quality TV programs for their kids. How do you choose good TV? David Kleeman, Director of the American Center for Children and media, says ask yourself the following questions Does this program actively engage my child, physically or intellectually? Television viewing doesnt have to be passive. It can prompt questions, kindle curiosity, or teach activities to pursue when the set if off. Do I respect this program? Parents dont have to like every(prenominal) show their children like. But parents should trust that a programs creator understand and respect how children grow and learn. Does my child see others like himself or herself on television? Young children believe that television reflects the real world. To not see people like themselves may diminish their self-worth. How do the makers of this program regard my child? Some program creators see young people as consumers to be sold to. Others see them as students to be educated, as future citizens to be engaged in the community, or simply as children. whose work is play.Parents should monitor the childs television viewing. They should limit the amount of time that the child watches TV. To avoid the negative aspects of television and commercials, parents can record shows without the commericals or buy childrens videos or DVDS. Is Television Viewing Harmful for Children? In my opinion, no. What could be harmful for children is what they watch and for how long. Childrens advocates are divided when it comes to solutions. Although many urge for more hours per week of educational programming, others assert that no TV is the best solution. Some say its better for parents to control the use of TV and to teach kids that its for occasional ente rtainment, not for constant escapism. Many parents and teachers have different views and this debate will carry on for centuries to come. There is powerful research and opinions on both sides of the debate. Ultimately the decision is up to the parent. Armed with information and friendship the parent can make the correct decision for them, their children and their family. As a teacher, I can share with the parents my knowledge of TV viewing and its effects, both positive and negative. In the classroom, I can encourage play, reading, and social interaction. I can introduce children to our world through play, dramatics trips, and books. I can provide the children with healthy snacks and encourage them to make healthy decisions regarding food, exercise, and television viewing. I can provide parents with information and resources that is offered by the school and the community. Children are influenced by those around them. They emulate what they see. As teachers and parents, we should be good role-models. How can we expect children to not smoke, drink, act violent ,eat poorly, or watch too much television if we are doing those things? Television cannot be blamed for problems with children. It is ultimately up to the parents to monitor their child, communicate with their child and instill in their child values and beliefs that help them make good decisions in their life.

Handmaids Tale Vs. Fire Dwelle :: essays research papers fc

In the two books Margaret Atwood&8217s The Handmaid&8217s Tale, and Margaret Laurence&8217s The Fire Dweller&8217s, the protagonists are very different in character. However, both of these women lose their identity due to an outside influence. In each of the books we see the nature of the bemused identity, the circumstances which led to this lost identity and the consequences which occurred as a expiration of this lost identity. In the book The Handmaid&8217s Tale by Margaret Atwood our main character (Offred) has had her whole human being stolen away by the government of Gilead. This new society is sexually repressed, and is founded by religious extremists. Women are only used to produce children, and have no rights at all in the new world of Gilead.In the book The Fire Dwellers by Margaret Laurence our main character Stacey MacAindra has been thrown into a life of responsibility. She has an uncommunicative husband who means well, but shows her no love. And quadruple children who she feels are being ruined by her every action. She feels that life has much more to offer than the tediousness of every day routine.The nature of Offred&8217s lost identity is very drastic. Before the new religious group of Gilead took over the world she was a very normal every day woman. She did what was expected of her judgment of conviction and continued to do so after the take over. She had a husband and a daughter who she loved very much. But the new society which she lives in love is not permitted. &8220 If I thought that this would happen again I would die. But this is wrong, nobody dies from lack of sex. It&8217s lack of love we die from. thither&8217s nobody here I can love, all the people I could love are dead or elsewhere . Offred also had the choice of forego will before her civilization changed. But then slowly women began to lose all of their rights and were no longer allowed to have jobs or even to use money, &8220Sorry, he said. This number is not valid. &822 0That&8217s ridiculous, I said. It must be, I&8217ve got thousands in my account. &8220It&8217s not valid, he repeated obstinately. See that red light? means it&8217s not valid,(p.164). &8220In the days of anarchy, it was freedom to. Now you are being given freedom from (p.24). Social class was not a racial matter before the take over and each individual was treated equally.

Charles Darwin Essay examples -- Science Evolution Scientist Biology E

Charles Darwin The famous naturalist Charles Darwin embarked on hundreds of miles of land excursions during the often-told story of the H. M. S. Beagle voyage, and on these trips, the most lasting visual impressions for Darwin are the Cordilleras Mountains, the Fuegian natives, and the Brazilian rainforests. The Beagles five-year serviceman circumnavigation from 1831 to 1836 emphasized South America and so it is not so surprising the previously mentioned natural wonders had such important impact on Darwin. Somewhat unexpected, though, is the blow Patagonia plains of Argentina which made an especially lasting impression on Darwin. While certainly not the only important lasting natural impressions for Darwin from the voyage, the natural wonders mentioned previously are quite note worthy because they show up so prominently in a careful reading of Darwins writing. Much has been scripted about the 19th century Beagle voyage and its scientific developments, but instead the emphasis for this research motif will be a selection of Charles Darwins most striking land journeys. This assignment will describe and evaluate the dimensions of the gentleman naturalists most impressive visual memories resulting from excursions into Brazil, Argentina, and Chile. In doing so, this paper will heavily rely on two sources The Life and Letters of Charles Darwin and what is popularly known as Darwins Beagle Diary. Both of these texts are available on the World Wide Web. Before turning to the content of the previously mentioned sources, some additional background is in order. The Beagle voyages main mission was to acquire a deposit of longitudinal measurements in a circumnavigation of the globe. In additi... ...13 Ibid., 534. Unknown indirect source. Referred in Journal of Researches as Shelley, Lines on M. Blanc. I was unable to found a bibliographic reference. 14 Ibid., 534. BibliographyDarwin, C. Journal of Researches into the Natural History and Geology of the countries visited during the voyage round the world of H.M.S. Beagle. 11th ed., London John Murray, 1913. Quoted from Web Site Van Wyhe, John ed., The writings of Charles Darwin on the web, 8 October 2003. (29 December 2003). Darwin, F. ed., The Life and Letters of Charles Darwin. New York D. Appleton & & Co., 1905. Quoted from Web Site Van Wyhe, John ed., The writings ofCharles Darwin on the Web, 8 October 2003. (29 December 2003).