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This study investigated the relationship between volatility in the United States economy and capital s, and the Nigerian capital and economy alike. The aim being to determine if the Nigerian bourse is volatile and if it is significantly affected by the current global economic meltdown (using data from the United States as proxies). Using secondary data for the period December, 1990 to December, 2008, the study made use of multiple regression analysis and the extension of Engle (1982) ARCH model, which is the GARCH model, developed by Bolerslav (1986). The study found positive and significant relationship between volatility in the United States economy (and bourse) and volatility in the Nigerian economy (and bourse). The result also discovered that the level of volatility was higher in the Nigerian bourse and that the level of Nigeria’s economic performance is not significantly determined by the level of volatility in the Nigerian bourse though, a weak relationships exist. Because of this weak relationship and significant effects of external stocks on Nigeria’s economy and bourse in particular. It is recommended that the Nigerian economy be properly diversified in such a way that it does not depend upon only one source of revenue. Also, policy makers are advised to be careful in their use of the Nigerian bourse as a barometer to reflect performance in the general economy as our findings suggests that this could lead to misleading conclusions. Finally, we recommend an improvement in the depth and breadth of financial products currently obtained in the Nigerian bourse.
Numerous empirical studies have appeared in recent years concerning the volatility of stock returns. Indeed a wide variety of research has been conducted on stock returns volatility in both developed and emerging s since the 1970’s in which the nature of volatility in different s at different point in time were uncovered; and financial economists during this period have been able to determine the causes and variables behind the existence, nature and anomalies relating to volatility. More recently, the volatility of stock prices and returns on the Nigerian stock has been a major concern to investors, analysts, brokers, dealers and regulators. Stock return volatility has severally been defined as a representation of the variability of stock price changes (perceived by many as a measure of risk). Variability also refers to the degree to which financial prices fluctuate. Large volatility means that returns (i.e. the relative price changes) fluctuate over a wide range of outcomes. The understanding of the level of volatility in a stock will naturally be useful in the determination of the cost of capital and in the evaluation of asset allocation decisions. Policy makers therefore rely on estimates of volatility as a barometer of the vulnerability of financial s (Olowe, 2009). However, the existence of excessive volatility, or “noise” in the stock undermines the usefulness of stock prices as a “signal” about the true intrinsic value of a firm, a concept that is core to the paradigm of the informational efficiency of s (Karolyi, 2001).
The traditional measure of volatility as represented by variance or standard deviation is unconditional and does not recognize that there are interesting patterns in asset volatility: e.g., time-varying and chestering properties. Researchers have introduced various models to explain and predict these patterns in volatility. Engle (1982) introduced the autoregressive conditional heteroskedasticity (ARCH) to model volatility. Engle (1982) modeled the heteroskedasticity by relatiing the conditional variance of the disturbance term to the linear combination of the squared disturbances in the recent past. Bollerslev (1986) generalized the ARCH model by modeling the conditional variance to depend on its lagged values of disturbance, which is called generalized autoregressive conditional hetereskedasticity (GARCH). Some of the models include IGARCH originally proposed by Engle and Bollerster (1986), GARCH-in-mean (GARCH-M) model introduced by Engle, Lilien and Robins (1987), the standard deviations GARCH model introduced by Taylor (1986) and Schevert (1989), the EGARCH or Exponential GARCH model proposed by Nelson (1991), JARCH or Threshold ARCH and Threshold GARCH were introduced independently by Zakoian (1994) and Gilosten, Jajanoathan, and Runkle (1998), the power ARCH model generalized by Ding, Zhvanzin, C.W.J. Granger, and R.F. Engle (1993) among others.
If investors are risk averse, theory predicts a positive relationship should exist between stock return and volatility (Leon, 2007). If there is a high volatility in a stock , the investors should be compensated in form of higher risk premium. The GARCH-in-mean (GARCH-M) model introduced by Engle, Lilien and Robbins (1987) has been used by various researchers to examine the relationship between stock return and volaitility (see French, Schwert and Stambough, 1987; Cheu, 1989) while some others found it negative (Nelson, 1991; Colosten et al, 1993 among others). Little or no work has been done on modeling stock returns volatility in Nigeria particularly using GARCH models (Olowe, 2009).
Furthermore, the term “global economic meltdown” (with its pervasive effect) on many economies, is increasingly becoming a topical issue in many developing and emergent economies in recent time. It currently is used to refer to a financial crisis that is currently plaguing much of the advanced world with increasing levels of spillovers into the economies of developing nations. The current global financial crisis which was triggered by the credit crunch within the US sub-prime mortgage , is continuing to spread and deepen in several countries. Countries around the world have approached this whirlwind pragmatically, prompting emergency funding support for relevant sectors, thereby mitigating the impact of the crisis on economies as well as avoiding the entire collapse of the international financial system. In spite of such support, some countries have been officially declared as being in recession, owing to a monumental decline in their wealth, manifesting itself in falling productive capacity, growth, employment and welfare (Ajakanye and Fakiyes, 2009).
The global financial crisis of 2008, an ongoing major financial crisis, could have affected stock volatility. The crisis which was triggered by the sub-prime mortgage crisis in the United States became prominently visible in September, 2008 with the failure, merger, or conservatorship of several large United State – based financial prime exposed to packaged sub-prime loans and credit default swaps issued to insure these loans and their issuers (Wikipedia, 2009). The crisis rapidly evolved into a global credit crisis, deflation and sharp reductions in shipping and commerce, resulting in a number of bank failures in Europe and sharp reductions in the value of equities (Stock) and commodities worldwide (Wikipedia, 2009). The financial crisis created risks to the broad economy which made central banks around the world to cut interest rates and various governments implement economies stimulus packages to stimulate economic growth and inspire confidence in the financial s. The financial crisis dramatically affected the global stock s. Many of the world’s stock exchanges experienced the worst declines in their history, with drops of around 10% in most indices (Wikipedia, 2009). In the US the Dow Jones industrial average fell 3.6%, not falling as much as other s (Olowe, 2009). The economic crisis even caused some countries to temporarily close their (Wikipedia, 2009).
The purpose of this study is to determine if the Nigerian economy is affected significantly by the current global economic meltdown, with the aid of secondary data collected between the periods of 1990-2008. Specifically our aim is measure the level of volatility in the Nigerian bourse for the specified period of time. Also this study sought to determine if the level of volatility in the Nigerian bourse is significantly determined by the level of volatility in the American economy using United States gross domestic product (GDP) and the Dow Jones Industrial Average (DJIA) as proxies for reflecting the effect of the global economic meltdown on the Nigerian economy. Lastly, the study also sought to determine if there is a significant relationship between Nigeria’s economy performance and its level of stock volatility.
Over the last few months the Nigerian regulatory authority where of the opinion that the Nigerian economy was totally insulated and free from the global financial meltdown and praised such softy programmes as the recent banking industry reform and consolidation programme, the on-going power sector reforms and indeed the seven (7) point agenda of the then current administration (see Soludo, 2008 CBN 2008). Yet it stands to common sense that no economy in the world can exist effectively in isolation as they must of a necessity have to trade with other nations. This trade could be in the form of good for good (Barker system), services for services or the normal typical trade which will naturally involve foreign exchanges. Some nations may even further depend upon one or a few core commodities in other to raise the much needed foreign exchange which will be used to settle its transaction in international scale and some of a great part of their external reserve may be managed by institutions based in some countries, seriously affected by the current global economic meltdown. Such a scenario will naturally lead to high degree of risk as there is the logical reasoning that the features of such economies and their institutions (positive or negative) will seriously impact (or affect) the local economy (of a country) whose reserve is domiciled there.
Against this background, our foray into this continuous issue is aimed at determining the general effect of the global financial meltdown on the Nigerian economy and more specifically, with respect to its effect on stock volatility in Nigeria. Specifically, these problems are: What effects will happenings in the US economy have on Nigerian local economy What effects would the direction of movement of the US Dow Jones Industrial Average have on the Nigerian bourse What effect would volatility level in the US economy have on the level of volatility in the domestic (Nigerian) economy What effect would the economic performance in the US bourse have on Nigeria’s economic performance
Specifically, the following research questions are posed:
Is the Nigerian stock volatile?
Is volatility in the Nigerians stock a result of the volatility in the United States stock ?
Is there a relationship between Nigeria’s economic performance and the economic performance of the US?
Is there a relationship between Nigeria’s economic performance and its level of stock volatility?
i. To ascertain if the Nigerian stock is volatile;
ii. To determine if the level of volatility in the Nigerian stock is as a result of the volatility in the US stock ;
iii. To ascertain if there is a relationship between Nigerian’s economic performance and the US economic performance;
iv. To determine if there is a relationship between Nigeria’s economic performance and its level of stock volatility.
The hypotheses to be tested will provide answers to the research questions and as well assist in dealing with issues raised in the research problems and objectives. The hypotheses are stated in the null form as follows:
Ho1­: That there is no significant relationship between the Nigerian economic performance and stock volatility in Nigeria.
Ho2: That there is no significant relationship between the Nigerian economic performance and the United States economic performance.
Ho3: That there is no significant relationship between the Nigerian economic performance and the United States stock (Dow Jones Industrial Average) volatility.
The scope of this study will be limited to the Nigerian capital with special reference to the level of stock price movements in the Nigerian bourse, data on United States Dow Jones Industrial Average (DJIA) as well as United States Gross Domestic Product(USGDP). The study will also utilize data concerning the Nigeria stock all share index and the Nigerian Gross Domestic Product (NGDP). Hence, all data will be collected for the period 1990-2008.
The Nigerian stock has changed greatly over the last decade. This is basically as a result of the various capital reforms that have been implemented over the years. This has led to an increase in the level of activities in the stock . The significance of the study is of two fold namely practical and theoretical significance. Practically, this study will be useful not only in the Nigerian Stock Exchange but also to other financial institutions that may be opportune to lay hands on a copy of this study. Theoretically, the study will be useful to scholars as well as researchers, the findings of the study can generate researchers interest on different area of the impact of global financial crisis, which will enrich the literature of the impact of global financial crisis stock volatility and the Nigerian economy.
The study is organized into five chapters as follows, chapter one provides the background to the study, statement of the research problems, objectives of the study, hypotheses, the scope of the study, the significance, the organisation, and the limitation of the study. Chapter two contain the review of related literature from various authors, journals and newspapers. The forms of chapter three is the research methodology with emphasis on model specification, sample and sampling techniques, analytical tools, data collection and data analysis Chapter four is concerned with data analysis as well as the various data presentation techniques to be used. The summary and conclusion from the study, recommendations offered and suggestions for further studies is covered in chapter five.
The data utilized in this study are purely secondary in nature. This covers data on All Share Index and Gross Domestic Product which are usually from accurate in an emerging economy (Nigeria inclusive) as a result of inadequate record keeping, and inefficiency on the part of the official statutory agencies. Also, results from data can be baise as a result of the imprecise measurement of variables. However, the inability for the research to obtain a completely random sample and the smallness of the sample size is also encountered. Effort will however be made to ensure that these limitation are significantly reduced.



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