scholarly journals FACTORS DETERMINING STOCK MARKET RETURNS: CASE OF NAIROBI STOCK EXCHANGE

2016 ◽  
Vol 1 (1) ◽  
pp. 108
Author(s):  
Samson Okoth Ondiek ◽  
Dr. Ongoro
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Significant Relationship ◽  
Unique Contribution ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Book Value ◽  
Company Stock ◽  
The Government

AbstractPurpose: The study attempts to establish if the changing macroeconomic factors and the industry variables can predict the variation on the Nairobi Security Exchange stocks return Methodology: It adopted a regression model that related stock returns to various selected macro and micro economic factors and used data of 20 companies that constitute the NSE index. The study used monthly data spanning the year 2006 to 2010.Results: The regression results indicate that, four of the variables i.e. market return (NSEI), exchange rate for US/KSH, market to book value ratio have a positive and significant relationship with an individual company stock market returns. Risk Free rate (91 Treasury bill rate) also had a positive and significant relationship while industrial growth opportunity and inflation were found to be negative and significant. leverage on the other hand was found to be insignificant and therefore does not influence individual company stock market returns. Unique contribution to theory, practice and policy: These findings will have significant effects on investors’ investment decisions making as well as the Government and the capital markets authority (CMA) in the formulation of polices and guidelines. Once factor betas are estimated, we can describe the expected change in security returns with respect to changes in a given factor and thus giving the investors, CMA and the Government a better understanding on the effect of a change in the fiscal and monetary policies in the stock market. This is crucial to the Government as it seeks to promote the capital market as a source of alternative funding for economic growth. Investors wishing to construct portfolios should also consider the trends of the inflation rates, exchange rates, market to book value ratio, industrial production and the stock market.  The rise of either of this micro and macroeconomic indicators may influence the returns positively or negatively and hence the investor may choose the best time to either buy or sell their securities

scholarly journals Are Kuwaiti Stock Returns Affected by Fluctuations in Oil Prices?

2020 ◽  
Vol 11 (6) ◽  
pp. 1
Author(s):  
Salem Alshihab ◽  
Nayef AlShammari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Oil Prices ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Adf Test

This paper examines the impact of fluctuations in the price of oil on Kuwaiti stock market returns for the month-to-month period of 2000 to 2020. The Augmented Dickey-Fuller (ADF) test for stationarity, the error correction model (ECM), and various cointegration test techniques were used to examine the estimated model. In an oil-based economy like Kuwait, the exposure to oil prices seems to affect the performance of the country’s stock market. Our main findings related to the long run showed that the price of oil is cointegrated with stock market returns. Interestingly, our ECM examination confirmed that changes in Kuwaiti stock market returns are only affected by oil price fluctuations in the short run. Further strategies are needed to better stabilize Kuwait’s capital market. This equilibrium can be achieved by pursuing more stability in other macroeconomic factors and providing a solid legal independence for the country’s financial market.

scholarly journals Oil Price Fluctuations and Their Impact on Stock Market Returns in Jordan: Evidence from an Asymmetric Cointegration Analysis

2016 ◽  
Vol 8 (1) ◽  
pp. 172 ◽  
Author(s):  
Buthaina M. A. Muhtaseb ◽  
Ghazi Al-Assaf
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Significant Relationship ◽  
Oil Prices ◽  
Cointegration Analysis ◽  
Oil Price ◽  
Market Returns ◽  
Stock Market Returns ◽  
Price Fluctuations ◽  
Asymmetric Cointegration

This paper examines whether Amman stock market returns responds asymmetrically to oil price fluctuations for the quarterly period 2000-2015 by applying asymmetric cointegration. Using both TAR and MTAR specification of Enders and Siklos’s (2001) models, and based on the asymmetric ECM, the results provide evidence that stock returns react to oil price variations in an asymmetric manner. In particular, rising oil prices has a larger impact on stock returns; this implies that increases in oil prices have a significant effect on the behavior of stock market in Jordan. The significant relationship between oil prices and stock returns strengthen their predictability power, so that appropriate strategies may be built on the basis of expected increases or decreases in oil prices.

Globalization and Stock Market Returns

2006 ◽  
Vol 6 (1) ◽  
pp. 1850082 ◽  
Author(s):  
Swee Sum Lam ◽  
William Wee-Lian Ang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Emerging Economies ◽  
Explanatory Power ◽  
Global Market ◽  
State Variables ◽  
Market Returns ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
The Relationship

With increasing globalization, to what extent do stock market returns reflect global or domestic risk factors? We find a significant relationship between stock market returns and the global market risk factor and macroeconomic factors respectively. In particular, global factors offer four times more explanatory power than domestic factors for developed market stock returns. Yet domestic factors are as important as global ones in emerging economies. Our method allows for the proxies of the state variables to be endogenously determined. The relationship between macroeconomy and stock market returns is robust after accounting for the market factor, firm size and book-to-market characteristics.

A quantile regression approach to evaluate the relative impact of global and local factors on the MENA stock markets

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Slah Bahloul ◽  
Nawel Ben Amor
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Returns ◽  
Stock Markets ◽  
Financial Integration ◽  
Ordinary Least Squares ◽  
Market Returns ◽  
Stock Market Returns ◽  
Content Type ◽  
The Impact

PurposeThis paper investigates the relative importance of local macroeconomic and global factors in the explanation of twelve MENA (Middle East and North Africa) stock market returns across the different quantiles in order to determine their degree of international financial integration.Design/methodology/approachThe authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market.FindingsThe results of this paper indicate that the impact of local macroeconomic and global factors differs across the quantiles and markets. Generally, there are wide ranges in degree of international integration and most of MENA stock markets appear to be weakly integrated. This reveals that the portfolio diversification within the stock markets in this region is still beneficial.Originality/valueThis paper is original for two reasons. First, it emphasizes, over a fairly long period, the impact of a large number of macroeconomic and global variables on the MENA stock market returns. Second, it examines if the relative effects of these factors on MENA stock returns vary or not across the market states and MENA countries.

Weather, investor psychology and stock returns: evidence from Fiji's stock market

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Janesh Sami
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Sunshine Duration ◽  
Market Returns ◽  
Modeling Framework ◽  
Stock Market Returns ◽  
Content Type ◽  
Asset Pricing Models ◽  
Weather Changes ◽  
Practical Implications

PurposeThis paper investigates whether weather affects stock market returns in Fiji's stock market.Design/methodology/approachThe author employed an exponential general autoregressive conditional heteroskedastic (EGARCH) modeling framework to examine the effect of weather changes on stock market returns over the sample period 9/02/2000–31/12/2020.FindingsThe results show that weather (temperature, rain, humidity and sunshine duration) have robust but heterogenous effects on stock market returns in Fiji.Research limitations/implicationsIt is useful for scholars to modify asset pricing models to include weather-related variables (temperature, rain, humidity and sunshine duration) to better understand Fiji's stock market dynamics (even though they are often viewed as economically neutral variables).Practical implicationsInvestors and traders should consider their mood while making stock market decisions to lessen mood-induced errors.Originality/valueThis is the first attempt to examine the effect of weather (temperature, rain, humidity and sunshine duration) on stock market returns in Fiji's stock market.

Impact of the Volatility of Macroeconomic Variables on the Volatility of Stock Market Returns

2014 ◽  
pp. 218-230
Author(s):  
Emeka Nkoro ◽  
Aham Kelvin Uko
Keyword(s):  
Stock Market ◽  
Government Expenditure ◽  
Annual Data ◽  
Market Returns ◽  
Financial Policies ◽  
Macroeconomic Factors ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Stock Market Return ◽  
Short Run

This chapter investigates the relationship between volatility of macroeconomic variables and the volatility of Nigeria’s stock market returns using annual data from 1985-2009. The Macroeconomic variables used are: inflation rate, government expenditure, foreign exchange rate, index of manufacturing output, broad money supply, and minimum rediscount rate. In pursuance of this, the AR(1)-GARCH-X(1,1) model was used for the analysis. The findings of this study revealed that, Nigeria’s current stock market return is positively influenced by previous returns. Volatility of Nigeria’s stock market returns was affected by past volatility less than the related news from the previous period. Also, the result shows that there is a significantly positive relationship between the volatility of the Nigeria’s stock market returns and the short run deviations of the macroeconomic variables (macroeconomic factors volatility) in the system. The results provide some insight to investors, financial regulators, and policymakers in the Nigeria’s stock market when structuring their portfolios and formulating economic and financial policies.

Effects of Daylight-Saving Time Changes on Stock Market Returns and Stock Market Volatility: Rebuttal

2013 ◽  
Vol 112 (1) ◽  
pp. 89-99 ◽  
Author(s):  
Mark J. Kamstra ◽  
Lisa A. Kramer ◽  
Maurice D. Levi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Market Volatility ◽  
Stock Market Volatility ◽  
Market Returns ◽  
Stock Market Returns ◽  
Daylight Saving Time ◽  
Daylight Saving ◽  
Time Changes ◽  
Saving Effect

In a 2011 reply to our 2010 comment in this journal, Berument and Dogen maintained their challenge to the existence of the negative daylight-saving effect in stock returns reported by Kamstra, Kramer, and Levi in 2000. Unfortunately, in their reply, Berument and Dogen ignored all of the points raised in the comment, failing even to cite the Kamstra, et al. comment. Berument and Dogen continued to use inappropriate estimation techniques, over-parameterized models, and low-power tests and perhaps most surprisingly even failed to replicate results they themselves reported in their previous paper, written by Berument, Dogen, and Onar in 2010. The findings reported by Berument and Dogen, as well as by Berument, Dogen, and Onar, are neither well-supported nor well-reasoned. We maintain our original objections to their analysis, highlight new serious empirical and theoretical problems, and emphasize that there remains statistically significant evidence of an economically large negative daylight-saving effect in U.S. stock returns. The issues raised in this rebuttal extend beyond the daylight-saving effect itself, touching on methodological points that arise more generally when deciding how to model financial returns data.

scholarly journals Reaction of stock market returns to COVID-19 pandemic and lockdown policy: evidence from Nigerian firms stock returns

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Isiaka Akande Raifu ◽  
Terver Theophilus Kumeka ◽  
Alarudeen Aminu
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Estimation Methods ◽  
Panel Var ◽  
Impulse Response Functions ◽  
Market Returns ◽  
Stock Market Returns ◽  
Long Run ◽  
Policy Shocks

AbstractGiven the effects COVID-19 pandemic on the financial sectors across the world, this study examined the reaction of stock returns of 201 firms listed in the Nigerian Stock Exchange to the COVID-19 pandemic and lockdown policy. We deployed both Pooled OLS and Panel VAR as estimation methods. Generally, the results from POLS show the stock market returns of the Nigerian firms reacted negatively more to the global COVID-19 confirmed cases and deaths than the domestic COVID-19 confirmed cases and deaths and lockdown policy. The results of the impulse response functions revealed that the effects of COVID-19 confirmed cases and deaths and lockdown policy shocks on stock returns oscillate between negative and positive before the stock market returns converge to the equilibrium in the long run. The FEVD results showed that growth in the COVID-19 confirmed cases, deaths and lockdown policy shocks explained little variations in stock market returns. Given our finding, we advocate for the relaxation of policy of lockdown and the combine use of monetary and fiscal policies to mitigate the negative effect of COVID-19 pandemic on stock market returns in Nigeria.

scholarly journals Measuring Stock Market Predictability with Implications of Financial Ratios: An Empirical Investigation of Pakistan Stock Market

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Abdul Samad Shaikh ◽  
Muhammad Kashif ◽  
Sadia Shaikh
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Exchange ◽  
Strong Predictor ◽  
Generalized Least Squares ◽  
Financial Ratios ◽  
Arbitrage Pricing Theory ◽  
Market Returns ◽  
Stock Market Returns ◽  
Study Results

This paper investigates the financial ratios prediction on Stock Market Returns for Pakistan Stock Exchange. The research includes three financial ratios; Dividend Yield (DY), Earning Yield Ratio (EYR) and Book-to-Market Ratio (B/M); that have been observed through past researchers as predictors of Stock Market Returns. The theoretical framework is based on Arbitrage Pricing Theory and Capital Asset Pricing Model CAPM by Roll and Ross (1977) and Fama-French 3 factor (1992). Generalized Least Squares (GLS) is applied to estimate the predictive regressions, Cointegration runs are applied to evaluate the long-term relationship, and Generalized Methods of Moments (GMM) to measure the moments over the years and fluctuations in stock returns. The study results show financial ratios as strong predictor of stock return in Pakistan Stock Exchange, the GMM analyses reveal that the EYR has the higher predictive power than DY and B/M respectively. Furthermore, it is found that the financial ratios predictability is enhanced when ratios are combined in the multiple predictive regression models. The research findings are useful for the stock market investors to evaluate their decisions and for academic researchers to evaluate the stock market and investment predictability.

scholarly journals The effect of ambiguity on the UK stock market: evidence from a new empirical approach

2017 ◽  
Vol 14 (4) ◽  
pp. 133-147
Author(s):  
Run Qing Tan ◽  
Viktor Manahov ◽  
Jacco Thijssen
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Linear Models ◽  
The Other ◽  
Var Model ◽  
Market Returns ◽  
Stock Market Returns ◽  
Bid Ask Spread ◽  
The Uk

This study developed a new ambiguity measure using the bid-ask spread. The results suggest that the degree of ambiguity has an impact on the daily UK stock market returns, but ambiguity does not cause changes in the returns. This implies that UK stock prices or returns cannot be predicted using variation in the degree of ambiguity through linear models, such as the VAR model, which was used in the study. The two sets of results in the study show that the degree of ambiguity from the previous two days might affect stock market returns. The authors observe that an increase in the degree of ambiguity two days ago is associated with a positive premium required by the investors. On the other hand, the degree of ambiguity tends to be affected by its past five-day values. Thus, the degree of ambiguity seems to persist for five days until investors update their priors. The intuition behind the result is that the degree of ambiguity can affect the returns of the UK stock market and UK stock market returns can in turn have an impact on the degree of ambiguity. The authors also observe that the degree of ambiguity does not seem to predict stock market returns in the UK when one applies linear models. However, this does not mean that there is no non-linear relationship between the degree of ambiguity and stock market returns or stock returns.

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