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Foreign investments are the investments made by residents of a country in the financial instruments and production process of any other country. Any individual, entity or institution that invests money in the financial markets of other countries is called as Foreign Portfolio Investor. Policymakers of any country are concerned about foreign equity investors because they can withdraw their capital from a country rapidly and hence affect the stability of stock markets in the country. The present paper carries the objective of examining the influence of foreign portfolio investor trading behaviour on the stock markets of India. Various models of GARCH have been used to examine the impact and coefficients were found to be significant in all the cases. Hence the paper suggests the government and economists should design and control suitable foreign investments policies for the Indian Stock markets. [ABSTRACT FROM AUTHOR]

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 analyse 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 analyse 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 favourable possibilities and market declines can partly be explained by increases in risk. [ABSTRACT FROM AUTHOR]

Macroeconomic stability is crucial not only for economic growth but also for the living standards and investments in a market economy. The macroeconomic variables like crude oil price, gold price, exchange rate, inflation and stock returns are highly correlated to each other and are highly volatile, and the volatility in one market spills over to other markets. This paper analyses the dynamic causality between crude oil price, exchange rate and BSE Sensex and their volatilities in India. The daily data on macro variables for 14 years between January 2006 to March 2019 is used in the GARCH estimation of causal effects of volatility spillovers. The GARCH estimates show that the volatility and volatility spillover of one market cause volatility and volatility spillovers in other markets in India. The crude oil price and exchange rate volatility and volatility spillovers cause volatility in BSE Sensex. The volatility in BSE Sensex is highly overdone by internal shocks of the stock market itself. [ABSTRACT FROM AUTHOR]

The primary objective of present study is to examine the impact of merger and acquisition announcements during 2000-2018 on stock returns and intraday volatility of banks listed on National Stock Exchange in India. The sample of 383 mergers and acquisitions events has been analyzed with the help of event study methodology. Findings suggest that consolidation in Indian banking sector leads to positive average abnormal returns and wealth creation for acquirer bank's shareholders. These findings are in agreement with Onikoyi et al. (2014), Kumar et al. (2011), and Anand and Singh (2008), and contrary to the evidence provided by Sim (2015), Asimakopoulos and Athanasoglou (2012), and Cybo-Ottone and Murgia, (2000). Further, results show that merger and acquisition in banking sector lead to curvy jumps in volatility around announcement date, which implies that disclosure of restructuring events in the banking sector affects return variability. These results confirm the observations by Pessanha et al. (2016), Kamau (2016), and Louhichi (2008). [ABSTRACT FROM AUTHOR]

This study examines the impact of Weather factors on return and volatility of the Indian stock market. The study uses the daily data of top four metros and tests its impact on the return and volatility of S&P CNX Nifty index from January 2008 to December 2013. This study applies GARCH (1, 1) model and find that the stock returns are influenced by temperature in Chennai and the stock return volatility influenced by the temperature in Mumbai, Delhi and Kolkata. [ABSTRACT FROM AUTHOR]

Efficient Market Hypothesis proposes that it is not possible to outperform the market through market timing. However, research studies over the years have reported several anomalies in stock market returns. Anomalies that are linked to a particular time are called calendar effects. The month-of-the-year effect or particularly the January effect is one of such anomalies. The present study in this context has sought to address the issue of the month-of-the-year effect in Indian Stock Market represented by BSE SENSEX during the period ranging from January 2, 2004 to December 28, 2012. The GARCH(1,1)-M model has been used to model the conditional volatility. The results indicate the presence of September and November effects in the SENSEX returns during the study period. Moreover, in the volatility equation the coefficients of March, June, August, October, November and December dummy variables are negative and significant. Hence, it is confirmed that the month- of- the year effect is also present in the variance (volatility or risk) equation. [ABSTRACT FROM AUTHOR]