Volatility Spillovers and Contagion from Mature to Emerging Stock Markets


Book Description

This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.




Volatility Spillovers and Contagion from Mature to Emerging Stock Markets


Book Description

This paper examines volatility spillovers from mature to emerging stock markets and tests for changes in the transmission mechanism-contagion-during turbulences in mature markets. Tri-variate GARCH-BEKK models of returns in global (mature), regional, and local markets are estimated for 41 emerging market economies (EMEs), with a dummy capturing parameter shifts during turbulent episodes. LR tests suggest that mature markets influence conditional variances in many emerging markets. Moreover, spillover parameters change during turbulent episodes. Conditional variances in most EMEs rise during these episodes, but there is only limited evidence of shifts in conditional correlations between mature and emerging markets.




Volatility in Emerging Stock Markets


Book Description

This study examines what kinds of events cause large shifts in the volatility of emerging stock markets. We first determine when large changes in the volatility of emerging stock market returns occur and then examine global and local events (social, political, and economic) during the periods of increased volatility. An iterated cumulative sums of squares (ICSS) algorithm is used to identify the points of shocks/sudden changes in the variance of returns in each market and how long the shift lasts. Both increases and decreases in the variance are identified. We then identify events around the time period when shifts in volatility occur. Most events tend to be local and include the Mexican Peso crisis, periods of hyperinflation in Latin America, the Marcos-Aquino conflict in the Philippines, and the stock market scandal in India. The October 1987 crash is the only quot;global eventquot; during the period 1985-1995 that caused a significant jump in the volatility of several emerging stock markets.




Stock Market Volatility


Book Description

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel







Volatility and Predictability in National Stock Markets


Book Description

This paper examines the evidence for the common assertion that the volatility of emerging stock markets has increased as a result of the liberalization of markets. A range of measures suggests that there has been no generalized increase in volatility in recent years; indeed, it appears that volatility may have tended to fall rather than rise on average. The paper also tests for the predictability of long-horizon returns in emerging markets. While there is evidence for positive autocorrelation in returns at horizons of one or two quarters, the autocorrelations appear to turn negative at horizons of a year or more. However, the magnitude of the apparent return reversals is not that much larger than reversals in some mature markets. One interpretation of the results would be that emerging markets have not consistently been subject to fads or bubbles, or at least no more so than in some industrial countries. In general, the liberalization and broadening of emerging markets should lead to a reduction in return volatility as risk is spread among a larger number of investors.




Market Deregulations, Volatility and Spillover Effects


Book Description

This paper investigates the impact of stock market liberalizations on the volatility of emerging markets and volatility spillover effects between these markets and stock markets of the United Stated and Japan. First, our results reinforce previous findings in that emerging markets tend to generate higher volatility than developed markets. Moreover, some of the sudden changes in emerging market volatility appeared to be often associated with financial liberalizations. However, when we explicitly test the relationships between financial liberalization and volatility using regression analysis, we found conflicting results about the sign of financial liberalization effects. Second, we found that stock volatility is substantially transmitted among sample markets, especially between emerging markets of the same geographical location. It is also demonstrated that the multilateral transmission of volatility only increases slightly after liberalization programs. Finally, it is worth notifying that shocks to volatility in emerging markets, rather than those to volatility in the US and Japanese markets constitute a dominant source of return variability in foreign stock markets.




The U.S. Term Structure and Return Volatility in Emerging Stock Markets


Book Description

This paper examines the predictive power of the U.S. term structure over return volatility in emerging stock markets. Decomposing the term structure of U.S. Treasury yields into two components, the expectations factor and the maturity premium, we show that the U.S. term structure indeed contains predictive information over emerging stock market volatility, even after controlling for country specific factors including turnover and market size. While we observe heterogeneous patterns across emerging markets in terms of their predictability with respect to the U.S. term structure, we find that the market's expectation of future short term rates, implied by the expectations factor, serves as a stronger predictor of stock market volatility compared to the maturity premium component of the yield spread. We also find that the U.S. term structure has gained further predictive value following the global financial crisis, particularly for the BRICS nations of China, Russia, and S. Africa. Overall, our findings suggest that policymakers and investors can utilize interest rate signals from the U.S. Treasury yields to make projections over stock market volatility in their local markets, however, distinguishing between the two components of the yield curve could provide additional forecasting power depending on the country of focus.




Emerging Equity Market Volatility


Book Description

Returns in emerging capital markets are very different from returns in developed markets. While most previous research has focused on average returns, we analyze the volatility of the returns in emerging equity markets. We characterize the time-series of volatility in emerging markets and explore the distributional foundations of the variance process. Of particular interest is evidence of asymmetries in volatility and the evolution of the variance process after periods of capital market reform. We shed indirect light on the question of capital market integration by exploring the changing influence of world factors on the volatility in emerging markets. Finally, we investigate the cross-section of volatility. We use measures such as asset concentration, market capitalization to GDP, size of the trade sector, cross-sectional volatility of individual securities within each country, turnover, foreign exchange variability and national credit ratings to characterize why volatility is different across emerging markets.