Positive feedback trading and long-term volatility links: evidence from real estate markets of USA,Be/Lux and Switzerland

This article investigates the positive feedback trading strategies in the real estate markets of USA, Belgium/Luxembourg (Be/Lux) and Switzerland, linking these strategies with long-term volatility. The results are in favour of a positive feedback trading strategy which negatively influences investors' risk-return position on real estate markets.     

我国证券市场正反馈交易的实证检验

正反馈交易是投资者依据证券t-1期收益高低决定其第t期买卖行为的一种交易策略,这种交易策略广泛存在于世界各国的证券市场中,使证券市场表现出超常的波动性。本文使用上证指数和深证指数对我国证券市场的正反馈交易进行了实证研究,结果显示我国证券市场同样存在显著的正反馈交易现象,这种现象降低了市场的稳定性。     

中国股市的风险与收益存在补尝关系吗？

Abstract Employing a recently developed method-mixed data sampling (MIDAS) approach — to assess the risk-return trade-off for Chinese stock markets, our results are striking. First, we fail to find any evidence of the risk-return trade-off in the first subsample (Jan 1993–Jan 2001), while we do find the existence of such relationship in the second subsample (Feb 2001–Dec 2005); such results suggest that as the markets become more mature, risks are compensated more properly. Second, we also compare the MIDAS results with the results obtained from conventional approaches such as the GARCH-type model. Our results are reasonably robust to the methods that we use, and the MIDAS and GARCH-type approaches outperform rolling-window approach in terms of modeling volatility.      

市场分割下中国股市反馈交易实证研究——来自A股、B股和H股市场的经验证据

文章在行为资本资产定价模型(BCAPM)的基础上,通过借鉴Watanabe(2002)的方法,建立了GJR-GARCHM(1,1)-M模型,充分考虑中国股票市场处于分割状态的现状,使用基本覆盖A股、B股和H股市场全部交易历史的市场指数日收盘价数据,对A股、B股和H股市场的反馈交易行为进行研究和比较,结果显示:A股和B股市场都存在显著的正反馈交易效应,反馈交易行为主要取决于波动率水平和市场涨跌两个因素;与成熟股票市场类似,H股和红筹股市场的正反馈交易行为不显著;A股市场的反馈交易行为受市场涨跌因素影响更大,而B股市场的反馈交易行为主要由波动率水平决定;深市比沪市更容易出现正反馈交易者主导市场的现象。文章的研究不仅对行为资本资产定价理论的成立提供了经验性证据,而且对投资经理的实践操作和政策制定者的监管调控都具有一定的参考价值。     

Firm Market Performance and Volatility in a National Real Estate Sector

We present empirical evidence using daily data for stock prices for 17 real estate companies traded in the Sao Paulo, Brazil stock exchange, from August 26, 2006 to March 31, 2010. We use the U.S. house price bubble, financial crisis and risk measures to instrument for momentums and reversals in the domestic real estate sector. We find evidence of conditional premium persistence and conditional volatility persistence in the market. We find that the conditional risk-return relationship in the sector is consistent with the prospect theory of risk attitudes in this period. Certain companies seem to be operating on a perceived potential industry return above the target, while most others are below the target, and the whole sector is below target on average.     

A Global-Optimal Portfolio Theory beyond the R-σModel

Deviations from the efficient market hypothesis allow us to benefit from risk premium in financial markets.We propose a three-pronged(R,σ,H)theory to generalize the(R,σ)model and present the formulation of a three-pronged(R,σ,H)model and its Pareto-optimal solution.We define the local-optimal weights(wR,wσ,WH)that construct the triangle of the quasi-optimal investing subspace and further define the centroid or incenter of the triangle as the optimal investing weights that optimize the mean return,risk premium,and volatility risk.By numerically investigating the Chinese stock market,we demonstrate the validity of this formulation method.The proposed theory provides investors of different styles(conservative or aggressive)an efficient way to design portfolios in financial markets to maximize the mean return while minimizing the volatility risk.     

Rational Pessimism, Rational Exuberance, and Asset Pricing Models

The paper estimates and examines the empirical plausibility of asset pricing models that attempt to explain features of financial markets such as the size of the equity premium and the volatility of the stock market. In one model, the long-run risks (LRR) model of Bansal and Yaron, low-frequency movements, and time-varying uncertainty in aggregate consumption growth are the key channels for understanding asset prices. In another, as typified by Campbell and Cochrane, habit formation, which generates time-varying risk aversion and consequently time variation in risk premia, is the key channel. These models are fitted to data using simulation estimators. Both models are found to fit the data equally well at conventional significance levels, and they can track quite closely a new measure of realized annual volatility. Further, scrutiny using a rich array of diagnostics suggests that the LRR model is preferred.     

Volatility spillovers and the price of risk: Evidence from the Swiss stock market

This paper investigates the behavior of the risk premium on the Swiss stock market. The risk premium consists of two components, which are estimated separately: the amount of volatility and the unit price of risk. By estimating a bivariate GARCH-M model the volatility of the Swiss market is found to be strongly exposed to spillovers from the other major financial markets. To estimate the unit price of risk a Kalman filter procedure is employed, which allows for variability in this variable. Investors place a high price on risk, when the market is considered `expensive'. First version received: March 1998/final version received: July 1998     

Regime dependent volatilities and correlation in international securitized real estate markets

This paper studies the role of regime shifts and time-varying volatilities in market integration in a Markov-switching volatility regime environment among the US, European and Asian developed securitized real estate markets. With a two-state volatility model, the study finds the co-dependence, co-movement and synchronization of volatility regime at the high volatility state are stronger between the US and European securitized real estate markets. Although correlations among the markets are higher in a high volatility regime than in a low volatility regime, there is limited evidence of contagious effects during the high volatility periods between some markets. Moreover, the unsecuritized real estate markets are different from their securitized equivalent in the volatility regime characteristics, correlation pattern and level, as well as the extent of correlation change and contagion effect in high volatility state. Thus, the regime-switching results from stock markets may not be automatically extended to the corresponding public real estate markets, and requires rigorous empirical scrutiny.     

Revisiting the shock and volatility transmissions among GCC stock and oil markets: A further investigation

The paper explores the empirical evidence of the volatility interactions among the Gulf Cooperation Council (GCC) stock markets and world oil price over the weekly period spanning from June 24, 2005 to March 25, 2011. The study is conducted based on the BEKK-GARCH process developed by Kroner and Ng (1998) and outlining the asymmetry in the conditional variances of the stock and oil markets. The findings show evidence of shock and volatility linkages among GCC stock and oil markets, and reveal that the spillover effects are more apparent for volatility patterns. They also indicate that the stock and oil markets exhibit asymmetry in the conditional variances. From the perspective of portfolio strategies, the results display certain sensitivity to the GCC stock prices, allowing thus better understanding of the relationship between each stock market and oil price. Our findings are crucial for practitioners, policy makers and investors who seek to make earnings by diversifying their portfolios.     

Disagreement and the risk-return relation

Disagreement is an important behavioral factor in financial market, and this paper investigates the impact of disagreement on the risk-return relation. We construct disagreement of crowded trades (DCT) index to measure disagreement, and discover that DCT has a significant impact on the risk-return relation. Furthermore, DCT change has a time-varying effect on the risk-return relation. When DCT change is negative, the risk-return relation is significant and negative; when DCT change is positive, the risk-return relation is significantly positive. When we use different conditional variance models and different market portfolios, such results are still robust. Moreover, our empirical results have important practical implications for asset allocation decisions.     

Regional stock market integration in Singapore: A multivariate analysis

This paper evaluates the time-varying integration of the Singapore stock market in the ASEAN-5 region based on a conditional version of the International Capital Asset Pricing Model (ICAPM) with c-DCC-FIAPARCH parameters. This model allows for dynamic changes in the degree of market integration, regional market risk premium, regional exchange-rate risk premium, and domestic market risk premium. Our findings show several interesting facts. First, the time-varying degree of integration in the Singapore market is satisfactorily explained by the level of trade openness and the term premium of US interest rates, which have recently tended to increase, however these markets remain substantially segmented from the world market. Second, the local market risk premium is found to explain a significant proportion of the total risk premium for emerging market returns. Our findings illustrate several important implications for portfolio hedgers for making optimal portfolio allocations, engaging in risk management and forecasting future volatility in equity markets. Our results are also of interest for both policymakers and investors, with respect to regional development policies and dedicated portfolio investment strategies in the ASEAN-5 region.     

The risk-return relation and VIX: evidence from the S&P 500

A significantly positive risk-return relation for the S&P 500 market index is detected if the squared implied volatility index (VIX) is allowed for as an exogenous variable in the conditional variance equation of the parsimonious GARCH(1,1) model. This result holds for both daily and weekly observations, for extended conditional mean and variance specifications, and is robust to sub-samples. We show that the conditional variance obtained from the GARCH model with VIX has better predictive ability for realized volatility than the conditional variance from GARCH without VIX and VIX itself, thereby documenting an important information content of VIX for conditional variance. The results are interpreted as evidence that adding VIX squared in the conditional variance equation yields a better measure of conditional variance which, subsequently, uncovers a strong risk-return relation.     

Dynamic Correlation Analysis of Asian Stock Markets

This paper examines the stock market linkages within the Asia-Pacific region and between Asian markets and the U.S. market over the period of January 2000 to June 2010, employing the dynamic conditional correlation GARCH model. Our results show that there exist very high correlations among the stock markets during the 2008 financial crisis. Therefore, consistent with the finding in literature, there are no diversification benefits during the financial crisis. However, our results show that there are still substantial opportunities for global investors to improve the risk-return performance between China and other markets during the sample period. In addition, we find evidence that the U.S. market significantly affects the stock markets in the Asia-Pacific region. Using T-GARCH model, there is a strong evidence of an asymmetric effect on conditional variance except stock markets in China and Malaysia.     

Home is Where You Know Your Volatility – Local Investor Sentiment and Stock Market Volatility

Using a new variable to measure investor sentiment we show that the sentiment of German and European investors matters for return volatility in local stock markets. A flexible empirical similarity (ES) approach is used to emulate the dynamics of the volatility process by a time‐varying parameter that is created via the similarity of realized volatility and investor sentiment. Out‐of‐sample results show that the ES model produces significantly better volatility forecasts than various benchmark models for DAX and EUROSTOXX. Regarding other international markets no significant difference between the forecasts can be observed.     

Modeling the dependence structure between default risk premium,equity return volatility and the jump risk: Evidence from a financial crisis

This paper investigates the dependence structure between default risk premium, equity return volatility and jump risk in the equity market before and during the subprime crisis. Using iTraxx CDS index spreads from Japanese and Australian markets, the paper models the different relationships that can exist in different ranges of behavior. We consider several Archimedean copula models with different tail dependence structures, namely, Gumbel, Clayton, Frank, AMH and Joe copulas. Although the dramatic change in the levels of the iTraxx CDS index, we find strong evidence that the dependence structure between CDS and stock market conditions is asymmetric and orienting toward the upper side. In addition, we find that the Japanese CDS market is more sensitive to the stock return volatility than the jump risk and the magnitude of this sensitivity is related to the market circumstances. However, Australian CDS market is more sensitive to the jump risk than stock return volatility before and during the financial crisis. This result has important implications for both global financial stability and default risk management. Specifically, the heterogeneity of markets, coupled with the diversity in the risk exposures cause the default risk premium and equity markets to exhibit different levels of sensitivity.     

Time-varying uncertainty and variance risk premium

This paper extends the AK production model in Pindyck and Wang (2013) into a more general setting in which the volatility of capital stock is stochastic and driven by shocks. After solving the equilibrium, the fundamental shocks are embedded into the stock price and the leverage effect is contributed from three distinct channels. As an application, we employ our extended AK production model to match well the negative variance risk premium.     

Volatility states and international diversification of international stock markets

This study uses a Markov-switching technique to identify the volatility state of international stock markets. Further, we consider four possible state combinations of the individual and world stock markets to examine an interesting issue regarding the relationship between international diversification and market volatility. Last, we adopt a framework based on the state-varying correlation to establish a more efficient international investment strategy. Our empirical results are consistent with the two following notions. First, the situation of both the individual and world stock markets during high volatility states will be associated with the minimum benefit of risk-reduction from international diversification and a maximum cross-market correlation. Second, by incorporating the character of state-varying correlation into the establishment of an international portfolio, we can create a more efficient investment strategy with less risk, or greater return for a given risk.     

The risk-return relations: evidence from the Korean and Taiwan stock markets

This article examines the risk-return relations conditional on up and down market periods in the Korean and Taiwan stock markets. Based on statistical tests adjusted for the effects of heteroskedasticity and autocorrelation of the residuals, beta is found positively (negatively) related to realized returns in up (down) markets. However, the results are sensitive to portfolio aggregation methods. Its role as a risk measure vanishes in down markets for the two-way (beta-size and size-beta) sorted portfolios. Unsystematic risk is significantly and positively priced only in up markets and mainly for beta-sorted portfolios while total risk is correctly priced except in Taiwan during down markets. Moreover, the impact of skewness and kurtosis on realized returns is not only sensitive to portfolio aggregation methods but also different across stock markets. They are found to be more relevant risk characteristics in the Korean than in the Taiwan stock market.     

Spillover Effects of the 2008 Financial Crisis in Latin America Stock Markets

This paper examines the transmission of the 2008 US financial crisis to four Latin American stock markets using daily stock returns from 2006 to 2010, analyzing before, during and after the 2008 financial crisis. The empirical evidence presents a financial contagion by showing persistently higher and more volatile pair-wise conditional correlations during the crisis period. This indicates there are structural changes in mean and volatility of the correlation coefficients due to the 2008 financial crisis in Latin American markets. The results here could be useful in international portfolio diversification decision-making in Latin American region. In addition, the predicting the volatility in different markets could be a useful input for reducing financial instability in crisis episodes to policy makers.