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The paper investigates the asymmetric volatility effect of five major cryptocurrencies and their bilateral linkages with major indices in the Indian stock market. To investigate the bilateral relationship of crypto currency with stock indices, researchers used two major stock indices in the Indian stock market namely, BSE Sensex and NSE Nifty. The study used GARCH, EGARCH and TGARCH models, asymmetric to model the asymmetric volatility effect in the conditional volatility of crypto currencies and stock indices. Johansen's cointegration and Vector Error Correction Model is used for examining the presence of cointegration between selected variables and to analyse the strength of causality among them. The study finds the evidence of cointegration between cryptocurrencies and stock market indices, implying that cryptocurrencies are related to stock indices. Further there is unidirectional relationship among stock and crypto market and crypto currencies having short-lived response to shocks in stock markets. Even with these currencies' explosive growth, there are still not many research examining their connection to stock markets. This study will help investor's those who making investment in currency market or in the stock market to evaluate the pattern of volatility, interconnection among them, so that they can make crucial investment decisions and diversification strategies. This will help them to gain knowledge about how these two markets move together so they may avoid underestimating risk when building portfolios that contain both kinds of assets. [ABSTRACT FROM AUTHOR]

This study analyses existing literature about investor behavior around news announcements. We use bibliometric analysis to explore the evolution and development in this theme. We analyze 815 research articles collected from Scopus database from 1992 to 2021 through bibliometric measurements and social networks using Vosviewer. We find that the number of studies examining investor behavior in response to news announcements has been steadily increasing over time, particularly since 2008. Further, the study highlighted influential authors, countries, institutions, impactful journals, and top articles in this theme. To identify the research gap to propose agenda for future research, the study conducted clustering and factor analysis of main studies and themes in this literature. Majority of the studies has focused on the impact of news announcements on stock market and individual investor sentiment, particularly herd behavior of investors. Even though many researchers tried to investigate di¤erent aspects of investor behavior around corporate and macroeconomic news announcements, to the best of our knowledge, no studies have been conducted to evaluate the performance and trends in this theme. This study significantly contributes to the financial literature dedicated to news announcements by analyzing the trend and pattern of publication in this theme and helping researchers and other participants in the financial market to get insight in this theme and to conduct future studies. [ABSTRACT FROM AUTHOR]