Volatility Risk and Stock Return Predictability


Book Description

This paper investigates the role of volatility risk on stock return predictability. Using 596 stock options traded at the American Stock Exchange and the Chicago Board Options Exchange (CBOE) for the period from January 2001 to December 2010 we examine the relation between different idiosyncratic volatility measures and expected stock returns for a period that involves both the dotcom bubble and the recent financial crisis. We first show that implied idiosyncratic volatility is the best stock return predictor among the different volatility measures used. Second, cross-section firm-specific characteristics are important on stock returns forecast. Third, we provide evidence that higher short selling constraints impact negatively stock returns having liquidity the opposite effect.




Implied Idiosyncratic Volatility and Stock Return Predictability


Book Description

This paper investigates the role of volatility risk on stock return predictability. Using 596 stock options traded at the American Stock Exchange and the Chicago Board Options Exchange (CBOE) for the period from January 2001 to December 2010, it examines the relation between different idiosyncratic volatility measures and expected stock returns for a period that involves both the dotcom bubble and the recent financial crisis. First it is showed that implied idiosyncratic volatility is the best stock return predictor among the different volatility measures used. Second, cross-section firm-specific characteristics are important on stock returns forecast. Third, we provide evidence that higher short selling constraints impact negatively stock returns having liquidity the opposite effect.




Option-Implied Volatility Measures and Stock Return Predictability


Book Description

Using firm-level option and stock data, we examine the predictive ability of option-implied volatility measures proposed by previous studies and recommend the best measure using up-to-date data. Portfolio level analysis implies significant non-zero risk-adjusted returns on arbitrage portfolios formed on the call-put implied volatility spread, implied volatility skew, and realized-implied volatility spread. Firm-level cross-sectional regressions show that, the implied volatility skew has the most significant predictive power over various investment horizons. The predictive power persists before and after the 2008 Global Financial Crisis.




International Financial Systems and Stock Volatility


Book Description

The financial crises are not confined to a financial market or a financial institution, or a country or a region. The financial crises moved from one market to another, across geographical locations, as well as across segments of financial systems. This volume is devoted to exploring various aspects of this issue.




Volatility in Financial Markets


Book Description

This dissertation focuses on volatility in financial markets, with a special concern for: (i) volatility transmission between different financial markets and asset categories and, (ii) the effect of macroeconomic announcements on the returns, volatility and correlation of stock markets. These issues are analysed taking into account the phenomenon of asymmetric volatility and incorporating the period of financial turmoil caused by the Global Financial Crisis. The study focuses the attention on the emerging markets of the region of Southeast Asia. The asymmetric behaviour of volatility refers to the empirical evidence according to which a negative return shock (unexpected drop in the value of the stock) generates an increase in volatility higher than a positive return shock (unexpected increase in the value of the stock) of the same size. In the financial literature two explanations of the asymmetric effect of news on stock return volatility have been put forward. The analysis of financial assets volatility is important to academics, policy makers, and financial market participants for several reasons. First, prediction of financial assets volatility is crucial to economic agents because it helps them make rational portfolio risk management decisions. Volatility is critically important to economic agents because it represents a measure of risk exposure in their investments. Furthermore, from a theoretical perspective, volatility occupies a central stage in pricing of derivative securities. For example, to price an option we need to know, as a risk measure, the volatility of the underlying asset from now until the option expires. Moreover, in a market risk context, it is vital to know the volatility of an asset in order to calculate the Value-at-Risk of a portfolio selection. Finally, volatility is important for the economy as a whole. Policy makers often rely on market estimates of volatility as a barometer for the vulnerability of the financial markets and the economy. Regarding the Asian markets, it is worth mentioning that in recent years, the interrelations between the US and the Asian markets have raised due to the increasing financial relations. One typical portfolio diversification strategy consists of investing in similar asset classes in multiple markets (international diversification). In order to make appropriate risk management strategies it is vital to know the characteristics of the markets of the different geographical areas and how the markets co-move. Likewise, it is very important to analyse which factors can influence the behaviour of the assets in the financial markets. Within Asian markets, this thesis distinguishes between mature and emerging countries. Japan represents the mature market and the emerging economies are divided into three groups: the Asian Tigers (tigers hereafter), the Asian Tiger Cub (cubs hereafter) economies and, finally, China. The objectives of this thesis are threefold. First, to explore volatility spillovers and the time-varying behaviour of the correlation between the US and the Asian stock markets. Second, to analyse how the macroeconomic events in the US affect the Asian stock market returns, volatility and correlation. Finally, to investigate volatility spillovers between equity and currency markets in Asia. Throughout these analyses, this dissertation aims to establish behaviour patterns depending on the level of development of the emerging country analysed. Furthermore, the sample period used in the analyses incorporates the period of the recent financial turmoil originated by the subprime mortgage market in the United States in the summer of 2007, with the aim of studying the effect of the Global Financial crisis on the patterns found. In general, the results of the three analyses of this dissertation show some interesting visions. While the volatility transmission pattern between the US and the Asian stock markets is mostly observed when the degree of development of the Asian country is higher, the effect of US macroeconomic news releases on these Asian markets is greater as the Asian market analysed is less developed. It is worth mentioning that China arises as a general exception of the three analyses, performing in an independent way with respect to the other Asian economies analysed. The reason of this behaviour can be due, on the one hand, to the fact that in the past decades China has been reaching market-based financial system and has been trying to open it up towards the international financial markets. In spite of these efforts, its financial market is still not entirely open to other countries worldwide. All in all, the results suggest that emerging Asian financial markets have thus far suffered only limited impact from the Global Financial crisis. However, heightened risk perception and declining investor confidence could trigger a sudden reversal of financial flows from these region's capital markets, pushing down asset prices and intensifying financial market volatility. The results of this dissertation may be useful for analysts, traders and portfolio managers. In an asset allocation framework, it is crucial to diversify the assets of a portfolio to diminish its risk. Considering international diversification, before composing a portfolio, it is very useful to know volatility spillovers across countries and asset classes. In this regard, it is vital to take into account the role of the currency market, not only because of the effect of exchange rate in foreign investments, but also for the relationship between the stocks in which to invest and the exchange rate of the related country. Likewise, macroeconomic news releases play a significant role in the stocks markets, hence it is very important to know the effect of the arrival of macroeconomic announcements on the returns, volatility and correlations of the stocks markets in which we want to invest. Finally, it is remarkable that the results of this thesis suggest that exchange rate policies should not be implemented without considering the repercussions on the stock market, and vice versa.




Volatility in Financial Markets


Book Description

"This dissertation focuses on volatility in financial markets, with a special concern for: (i) volatility transmission between different financial markets and asset categories and, (ii) the effect of macroeconomic announcements on the returns, volatility and correlation of stock markets. These issues are analysed taking into account the phenomenon of asymmetric volatility and incorporating the period of financial turmoil caused by the Global Financial Crisis. The study focuses the attention on the emerging markets of the region of Southeast Asia. The asymmetric behaviour of volatility refers to the empirical evidence according to which a negative return shock (unexpected drop in the value of the stock) generates an increase in volatility higher than a positive return shock (unexpected increase in the value of the stock) of the same size. In the financial literature two explanations of the asymmetric effect of news on stock return volatility have been put forward. The analysis of financial assets volatility is important to academics, policy makers, and financial market participants for several reasons. First, prediction of financial assets volatility is crucial to economic agents because it helps them make rational portfolio risk management decisions. Volatility is critically important to economic agents because it represents a measure of risk exposure in their investments. Furthermore, from a theoretical perspective, volatility occupies a central stage in pricing of derivative securities. For example, to price an option we need to know, as a risk measure, the volatility of the underlying asset from now until the option expires. Moreover, in a market risk context, it is vital to know the volatility of an asset in order to calculate the Value-at-Risk of a portfolio selection. Finally, volatility is important for the economy as a whole. Policy makers often rely on market estimates of volatility as a barometer for the vulnerability of the financial markets and the economy. Regarding the Asian markets, it is worth mentioning that in recent years, the interrelations between the US and the Asian markets have raised due to the increasing financial relations. One typical portfolio diversification strategy consists of investing in similar asset classes in multiple markets (international diversification). In order to make appropriate risk management strategies it is vital to know the characteristics of the markets of the different geographical areas and how the markets co-move. Likewise, it is very important to analyse which factors can influence the behaviour of the assets in the financial markets. Within Asian markets, this thesis distinguishes between mature and emerging countries. Japan represents the mature market and the emerging economies are divided into three groups: the Asian Tigers (tigers hereafter), the Asian Tiger Cub (cubs hereafter) economies and, finally, China. The objectives of this thesis are threefold. First, to explore volatility spillovers and the time-varying behaviour of the correlation between the US and the Asian stock markets. Second, to analyse how the macroeconomic events in the US affect the Asian stock market returns, volatility and correlation. Finally, to investigate volatility spillovers between equity and currency markets in Asia. Throughout these analyses, this dissertation aims to establish behaviour patterns depending on the level of development of the emerging country analysed. Furthermore, the sample period used in the analyses incorporates the period of the recent financial turmoil originated by the subprime mortgage market in the United States in the summer of 2007, with the aim of studying the effect of the Global Financial crisis on the patterns found. In general, the results of the three analyses of this dissertation show some interesting visions. While the volatility transmission pattern between the US and the Asian stock markets is mostly observed when the degree of development of the Asian country is higher, the effect of US macroeconomic news releases on these Asian markets is greater as the Asian market analysed is less developed. It is worth mentioning that China arises as a general exception of the three analyses, performing in an independent way with respect to the other Asian economies analysed. The reason of this behaviour can be due, on the one hand, to the fact that in the past decades China has been reaching market-based financial system and has been trying to open it up towards the international financial markets. In spite of these efforts, its financial market is still not entirely open to other countries worldwide. All in all, the results suggest that emerging Asian financial markets have thus far suffered only limited impact from the Global Financial crisis. However, heightened risk perception and declining investor confidence could trigger a sudden reversal of financial flows from these region's capital markets, pushing down asset prices and intensifying financial market volatility. The results of this dissertation may be useful for analysts, traders and portfolio managers. In an asset allocation framework, it is crucial to diversify the assets of a portfolio to diminish its risk. Considering international diversification, before composing a portfolio, it is very useful to know volatility spillovers across countries and asset classes. In this regard, it is vital to take into account the role of the currency market, not only because of the effect of exchange rate in foreign investments, but also for the relationship between the stocks in which to invest and the exchange rate of the related country. Likewise, macroeconomic news releases play a significant role in the stocks markets, hence it is very important to know the effect of the arrival of macroeconomic announcements on the returns, volatility and correlations of the stocks markets in which we want to invest. Finally, it is remarkable that the results of this thesis suggest that exchange rate policies should not be implemented without considering the repercussions on the stock market, and vice versa."--TDX.




FINANCIAL CRISIS AND VOLATILITY OF STOCK MARKET AND FOREIGN EXCHANGE MARKET


Book Description

Analysis of stock market for the assessment of the risk has assumed greater significance in india, after liberalization. Usefulness of efficident stock market in mobilzing resources is well-known among policy makers and investors. Volatility In the prices of stock adversely affects individual earnings and health of the economy. Volatility in the price of stock market can arise because of several reasons. It creates atmosphere of uncertainty and thus it hampers productive investment. Volatility is inherent feature of stock markets. It should be known to those who are concerned directly and indirectly with stock markets. Volatility of stock prices refers to the frequency with which changes in stock prices over a given period of time. The volatility can also be understood as the frequency or relative rate at which the price of a security moves up and down. Volatility Is found by calculating the annualized standard deviation of daily change in price. Standard deviation of return is widely used as a measure of total risk of a financial asset. If a stock is highly volatile, there is risk of losing capital and thus investors tend to avoid Investing in these stocks.




Real Estate Return Volatilty and Systematic Risk


Book Description

This study empirically examines the dynamics of conditional returns, volatility and systematic risk in ten developing and developed real estate markets and two world market indexes (i.e. world real estate and world stock). We find clustering, predictability, strong persistence and asymmetry in country-specific and global market conditional volatility. Moreover, developing real estate markets display higher conditional volatility and persistence than developed markets. The world real estate market volatility has a statistically significant positive impact on time-varying real estate market betas for developing real estate markets of Asia-Pacific, Hong Kong, Singapore and Malaysia, and a statistically significant negative impact on systematic risk for mature real estate markets of Europe and the UK. Additionally, the extra country-specific market volatility and global market volatility during the Asian financial crisis period seem to impose a larger size influence than the volatility during total period in some markets. Based on comparisons of in-sample forecast errors, our findings appear to favor time-varying real estate betas relative to a world real estate index over a world stock index. Our findings have significant implications for understanding real estate market integration and global capital markets.