Asset pricing is one of the most important research areas in the field of finance. The simple CAPM model (capital asset pricing model) relates the return of the stocks and portfolios to the market factor captured by beta. Since the formulation of CAPM in 1960s, asset pricing has covered a long distance. We conduct the test of CAPM for India and US by using data from January 2001 to December 2015. We run 84 second pass cross-sectional regression equations to test the applicability of CAPM. The results of our test find that CAPM is not able to capture the cross section of average returns both in India and US and we should consider the alternative asset pricing models to establish the risk-return relationship.
Author: Eduindex News
Visit us for more news at https://eduindex.org
Causal Relationship between Gold, Crude Oil & US Dollar Rates and S&P BSE 100 in India: An Experimental Study
In the present globalized business scenario, volatility in gold price, international crude oil price, and US Dollar exchange rate are likely to stimulate uncertainty in stock market conditions globally. The degree of uncertainty in stock market is high in the case of developing nations like India. Therefore, the study of causal relationship of gold, crude oil, and US Dollar rates with the stock market indices (S&P BSE 100) in India is more appropriate. The researchers have analyzed these macroeconomic variables along with the S&P BSE 100 with the help of econometric tools viz. Augmented Dickey-Fuller Test for Unit-Root, Johansen Co-Integration Test, Pairwise Granger Causality Tests, Vector Auto Regression Modeling, Variance Decomposition test, and Impulse responses analysis. The econometric research software called EVIEWS 6 was used to apply all those tools successfully. The result shows that there is a high impression in the Indian stock market due to the volatility happens in the described macroeconomic factors.
Cointegration of Asian Stock Markets: Empirical Evidence from India
At present stock return is significantly related to other global stock markets. The present paper empirically investigates the short run and long run equilibrium relationship between the stock market of India, Japan Hong Kong, Singapore, Malaysia, China, and Australia monthly data during January 1995 to December 2013. Researcher employs correlation test, multivariate co-integration framework, Vector Auto Regressive error-correction model and Granger causality test with reference to financial up evils in Asia and world viz., Asian crisis (1997/98), financial crisis (2008) Inflation conditions, Natural disasters, financial up evils etc. of long run relationship. Results find that the Indian stock market return is significantly co-integrated with long run and short run situations/causalities in Asian Stock returns.
Bull and Bear Phases: An Empirical Perusal of Indian Stock Market NSE and BSE Stock Markets?
In general, any one known to stock market is acquainted with the phenomenon of bull and bear phases, but whether the traders or investors put air to these phases while making a decision to buy, sell, or stay invested. The present paper attempts to identify and analyze the two most popular market phases, i.e. bull and bear, for better investment decisions with the use of Bry and Boschan Algorithm and time series data. Further, it seeks to analyze the distributional characteristics of the variances in stock returns and search evidence of asymmetries, if any, in volatility under different market conditions which may help to shed light on the bull and bear phases of Indian equity market. The study arrange for evidence that in bull markets, stock prices run far ahead of earnings and for fairly long periods of time. The paper indicates 12 bull and bear phases in the Sensex and Nifty during the sample period of 19 years with the associated factors responsible for the shift of bull and bear market phases. The results provide considerable support for the view that markets choose to ignore adverse possibilities and react with zest to favorable possibilities and market declines can partly be explained by increases in risk.
The Analysis of the Characteristics and the Reasons of China Treasury Bond Futures
Treasury bond futures basis is one of the core indicators of futures market operation quality. Identifying characteristics and causes of futures basis from an objective respect are of realistic significance for correctly understanding and improving the treasury bond futures market. Based on the analysis of Chinas treasury bond futures basis, the article summarizes the main factors affecting treasury bond futures basis, elaborates the market impact of characteristics of treasury bond futures spread, and then offers a proposal to improve the treasury bond futures market.
Are Stock Markets Interdependent? An Empirical Study of Selected Market Indices
It has been acclaimed by various researchers that international diversification has reduced its charm as return-risk of the world markets are highly correlated due to information spillover effect and globalization. This study examines inter linkages and interactions, if any, among the selected twelve indices of developed and emerging economies. The study applies descriptive statistics, correlation coefficients and Granger Causality test to check basic characteristics of each indices and their correlation and impact on each other. Granger Causality test for some indices shows that return of one market index had causal influence on return in other market index. The finding of this paper gives good insights to the international investors who are looking to reduce risk for a given level of return.
Mobile Money – A Catalyst for Financial Inclusion in Developing Economies: A Case Study of Zimbabwe using FinScope Survey Data
Mobile money in Zimbabwe has extensively extended the frontiers of financial inclusion to reach millions who were earlier excluded within a relatively short space of time. The growing use of mobile phones in transferring money and making payments has significantly altered the countrys financial inclusion landscape as millions who had been hitherto excluded can now perform financial transactions in a relatively cheap, reliable and secure way. The FinScope results found out that 45% of the adult population use mobile money services. Of those using mobile money, 65% mentioned that is convenient, while 36% mentioned that it is cheap. Mobile money is accessible. These drivers are in the backdrop of few or no bank branches in rural communities as well as time and cost of accessing the bank branches. In Zimbabwe, mobile money is mostly used as a vehicle for remittances. While some people are enjoying mobile money services, it is important to mention that there are still people who are excluded from the formal financial system. The reasons why people do not use mobile money are mainly related to poverty issues. Mobile money remains a viable option to push the landscape of financial inclusion in Zimbabwe and other emerging markets where the formal financial system might not be strong.
Are Indian Investors Return Chasers? An Anatomy of their Trading Behavior
Momentum has remained an unanswered anomaly in finance literature. Researchers have pointed out two arguments, whether the source of prior return anomalies are rational or behavioral. In this paper, we examined return chasing tendency investors and the profitability of probable price momentum strategy in Indian equity market using the monthly return data of equities represented in BSE-500 index encompassing the time period from July 2004 to Jun 2014. Study is an attempt to analyze momentum effect before, during and after the financial crisis of 2007–2009 to check whether investors continue to follow the same strategy during crisis or their behavior undergoes any change. Also study examined the adequacy of rational CAPM models to explain momentum profits. The result evidenced a strong presence of economically and statistically significant momentum profit in Indian stock market equity returns. Therefore return chasing tendency of Indian investors is found to be persistent in the intermediate horizon in Indian context. Closer observation of the results reveals that, Indian investors are winners chasers rather than investor in past losers. Study also confirmed that investors sentiments are volatile according to general market environment and inadequacy of rationalist equilibrium model to explain momentum profits.
Multi-Index Conditional Investment Performance Measure: An Empirical Analysis
The present study seeks to examine the mutual fund performance of the open-ended selected equity schemes of UTI based on multi-index measures as well as conditional multi-index measure. It is observed from the analysis that multi-index measure is able to capture the beta and alpha effects on market adjusted basis and the estimated coefficients is a better representative as compared to the single index measure. When time lagged (lagged at 1 month, 2 months, quarterly and yearly) multi-index measures are applied then the estimated coefficients (alpha & beta) which are market adjusted and time adjusted look more representative than the multi-index measure (without lagged effect). Finally, when we extended the time lagged multi-index measure on a conditional way (conditional on public information variables) then we observe that conditional multi-index lagged measure provides much more representative results in all respects as compared to the all measures after conditioning public information effects.
CEO Compensation and Acquired and Acquiring Companies in Large Corporate Acquisitions
This paper examines the relative sensitivity of CEO compensation of both acquiring and acquired firms in the top 30 U.S. largest corporate acquisitions in each year for the period of 2003 to 2012. We find that total compensation and bonus granted to executive compensation for acquired companies, not acquiring companies, are significantly related to the amount of acquisition deal even after the size and firm performance are controlled for. Both acquiring and acquired CEOs are found to make the significantly higher compensation than the matched sample firms in the same industry and calendar year. We also find that executives with higher managerial power, as measured by a lower salary-based compensation mix, prior to a corporate acquisition are more likely to receive a higher executive pay in the year of acquisition. The association between executive compensation and managerial power seems to be stronger for acquired firms than for acquiring firms in corporate acquisition. Overall, our findings suggest that corporate acquisition has higher impacts on executive compensation for acquired firm CEOs than for acquiring firm CEOs.
Benchmarking of Indian Sectoral Mutual Funds – A Non-Separable Undesirable Output Model
Performance analysis of mutual funds is usually made on the basis of return-risk framework where return is considered an output indicator and risk is considered as an input indicator. However, portfolio risk in actuality is a non-separable undesirable output and any effort to reduce it also causes a reduction in portfolio return. In view of this, the present paper uses a non-parametric non-separable undesirable output model to evaluate the performance of 27 sectoral mutual fund schemes based on observations for the period July 2010 to June 2013. The USP of the present study is that return and risk are considered as both non-separable outcome of the process of investment. The results exhibit stability of mean efficiency scores across the observed years. Further, fund inefficiency mostly emerged from the input side and not from the output side.
Determinants of Cumulative Abnormal Return: A Dynamic Approach
There is a large body of finance literature that has tested and validated dividend policy decisions mainly focused on the effect of the dividend announcement and the impact it has on the post announcement drift. But very few studies have tested the determinants of the cumulative abnormal return (CAR) surrounding the dividend announcement and to find the role of economic adversity in explaining the change in CAR. The present study investigates the role of change in dividend under both adverse and favorable market conditions. Using the data of S&P CNX 500 companies the study examines the role of dividend yield and EPS in explaining cumulative abnormal return over a period of seven years. Using VAR methodology the study examined the determinants of CAR surrounding the dividend announcement and the dynamic relationship between the variables. The results of the study showed that during adversity, dividend yield is the major factor explaining CAR. Variables like EPS, volume and price explain the CAR when there is no economic adversity. The study found that there is a significant relationship between abnormal return and its determinants.
Mobile Money Landscape in the 12 SADC Countries using FinScope Survey Data
There is no doubt that mobile money is bringing the under-served and the excluded population into the main stream financial services corridors. Based on the FinScope surveys, mobile money is becoming one of the enablers of financial inclusion. In an increasing number of developing countries, a number of poor people are using basic mobile phones to transfer money, paying for goods and accessing some basic financial services. According to the World Bank, mobile financial services are amongst the most promising mobile applications in the developing world. Although FinScope results show that mobile money usage is relatively low (23%) in the SADC region, the trend of usage is coming up fast. FinScope results show that close to 7 in 10 mobile money users are using it as a remittances/money transfer vehicle while 54% for buying airtime. It is encouraging that about 7 million adults (24% of mobile money) store value or save money in their mobile money accounts. Some barriers to mobile money relate to: affordability, perceived cost of mobile money, lack of understanding of mobile money/lack of awareness and no access to cell phones. Besides these barriers, mobile money is becoming a game changer for the landscape of financial inclusion in the SADC region.
Monthly Patterns in Egyptian Stock Market
In this paper, monthly effect in Egyptian stock market is investigated for the period January 2007 to July 2015. After examining the random walk hypothesis of the return series, a Seasonal Auto regressive Moving Average (SARMA) model is specified to test the monthly effect in Egyptian Stock market. The results of the study imply that the banking sector of stock market is information ally efficient and does not confirm to the existence of seasonality in stock returns.
Study and Analysis of Dividend Policies, Practice and Its Application in Mumbai based Corporate Houses
In the present paper an attempt has been made to study dividend policy of Mumbai based companies of India. The study tries to assess the level of perceived awareness about models and use of dividends policies, analyses the factors affecting dividend distribution decisions and evaluates the impact of the same on the financial decision-making of companies. In addition the paper tries to understand the correlation between size of companies and distribution of dividend policies. The results of the research paper show that a majority of the fifty respondent Companies follow a policy of consistent dividend rate which is influenced by profit after tax, and finally the legal requirements. It is further observed that generous dividend or erratic divided policies are not popular choice among fifty respondent companies. The use of traditional method of dividend policies which suggests that market price increases with declaration of dividend is strong and dominant. Followed by the Modiglani Miller Method which indicates that dividend distribution has no impact on valuation. On the contrary it is found that Investment decisions influence share valuation. This is further followed by Walter Model where impact of dividend on share price depends on the IRR visa-a-vis cost of capital) and Gordon Method in which dividend policy has an impact on share valuation. Statistical tests such as Friedmans ANOVA test, Kruskal-Wallis ANOVA, and, Karl Pearsons Coefficient of Correlation analysis are used for analysis and the validity of the collected data is checked by using Cronbachs alpha.
Eduindex 
You must be logged in to post a comment.