网络金融信息量与沪市A股价格表现的关联性

本文将网络金融信息流信息量及其算术变动量引入到EGARCH模型中,对沪市A股价格ARCH效应进行网络金融信息流角度的再解释.结果显示,引入前期网络金融信息量后,EGARCH模型拟合度得到了显著改善,对价格变动量序列自相关异方差部分的解释力明显增强;实证回归的方程式中信息量的系数准确刻画出了样本序列ARCH效应依赖网络金...     

基于非对称GARCH的铜期货市场风险度量研究

针对金融时间序列普遍存在自相关性、杠杆效应、尖峰厚尾等典型事实,运用基于杠杆效应的GARCH模型,构建铜期货市场收益序列具有典型事实的动态风险测度模型：VaR-AR（m）-EGARCH（p,q）和VaR—AR（m）-TGARCH（p,q）,再通过上海期货交易所（SHFE）铜期货对所建模型进行实证分析,并运用Back—testing中的LRT（Likelihood Ratio Test）方法,对铜期货市场风险测度模型准确性和可靠性进行实证检验。实证结果表明,基于非对称GARCH的铜期货市场动态风险度量模型,能够有效捕获铜期货市场的典型事实,同时还能够准确测度具有杠杆效应的铜期货市场的动态风险,也能加强对金融市场动态风险预测能力。     

Price and volatility spillovers between exchange rates and stock indexes for the pre- and post-euro period

In this paper we explore the nature of the mean, volatility and causality transmission mechanism between stock and foreign exchange markets for the United States and some major European markets for the periods pre- and post-euro. The asymmetric volatility transmission is described by an extended Multivariate Exponential Generalized Autoregressive Conditionally Heteroskedastic (EGARCH) model. The results support the asymmetric and long-range persistence volatility spillover effect and show strong evidence of causality in the mean and variance between foreign exchange rate and stock price for both pre- and post-euro periods. However, the stock price has a more significant effect on foreign exchange rate for the two subsamples. These results are robust to the cross-correlation function test suggested by Cheung and Ng. The implication is particularly important for international portfolio managers when devising hedging and diversification strategies for their portfolios.     

Modelling International Price Relationships and Interdependencies Between the Stock Index and Stock Index Futures Markets of Three EU Countries: A Multivariate Analysis

This paper addresses the important relationship between stock index and stock index futures markets in an international context. By simply examining the spot‐futures relationship within a single country as most of the extant literature does and thus ignoring possible market interdependencies between countries, the dynamics of price adjustments may be misspecified and thus findings misleading. The main contribution of the paper is to improve our understanding of the pricing relationship between spot and futures markets in the light of international market interdependencies. Using a multivariate VAR‐EGARCH methodology, the paper investigates stock index and stock index futures market interdependence, that is lead‐lag relationships and volatility interactions between the stock and futures markets of three main European countries, namely France, Germany and the UK. In addition, the paper explicitly accounts for potential asymmetries that may exist in the volatility transmission mechanism between these markets. The main conclusions of the paper imply that investors need to account for market interactions across countries to fully and correctly exploit the potential for hedging and diversification.     

Volatility Spillovers Between Stock Returns and Exchange Rate Changes: International Evidence

We investigate interdependencies between stock returns and exchange rate changes for six industrialised countries, namely the US, the UK, Japan, Germany, France and Canada, by testing for volatility spillovers using a bivariate EGARCH model. Volatility spillovers from stock returns to exchange rate changes are found for all countries except Germany. These spillovers are symmetric in nature. No evidence is found of volatility spillovers from exchange rate changes to stock returns for any country. Spillovers from stock returns to exchange rate changes have increased since October 1987. This finding is consistent with the notion that international financial markets have become increasingly integrated.     

基于熊市和牛市不同阶段的开放式基金收益特征研究

对我国开放式基金日收益率进行基本统计分析,发现熊市阶段,日收益率序列除债券型基金,其均值统计不显著;牛市阶段,日收益率序列均值统计显著,且为正。采用EGARCH模型对我国开放式基金收益的两个阶段波动性的杠杆效应进行研究,结果表明熊市阶段一般不存在或存在负杠杆效应,而牛市阶段大部分存在正杠杆效应。     

Modeling volatility and changes in the swap spread

We investigate the determinants of changes in U.S. interest rate swap spreads using a model that explicitly allows for volatility interactions between swaps of different terms to maturity. Changes in the swap spread are found to be positively related to interest rate volatility, to changes in the default risk premium in the corporate bond market, and to changes in the liquidity premium for government securities. Swap spread changes are negatively related to changes in the level of interest rates and changes in the slope of the term structure. We also find that there is a strong and significant volatility interaction among spreads for swaps of different maturities and that the process for the conditional variance of the spread is highly persistent across all maturities.     

Interest Rate Surprises and Stock Prices

This paper examines the impact of unexpected changes in the federal funds target on stock prices from 1988 to 2001. Measures of interest rate surprises are constructed from survey data and changes in the 3-month T-bill yield. I find that surprises associated with decreases in the target cause stock prices to rise significantly. Surprises associated with increases in the target increase stock market volatility on the announcement day, with volatility reverting to pre-surprise levels on the day after the announcement. This volatility pattern is only evident since 1994. An implication is that concerns about immediate disclosure causing persistent and heightened stock market volatility might be misplaced.     

Whittle estimation of EGARCH and other exponential volatility models

The strong consistency and asymptotic normality of the Whittle estimate of the parameters in a class of exponential volatility processes are established. Our main focus here are the EGARCH model of [Nelson, D. 1991. Conditional heteroscedasticity in asset pricing: A new approach. Econometrica 59, 347–370] and other one-shock models such as the GJR model of [Glosten, L., Jaganathan, R., Runkle, D., 1993. On the relation between the expected value and the volatility of the nominal excess returns on stocks. Journal of Finance, 48, 1779–1801], but two-shock models, such as the SV model of [Taylor, S. 1986. Modelling Financial Time Series. Wiley, Chichester, UK], are also comprised by our assumptions. The variable of interest might not have finite fractional moment of any order and so, in particular, finite variance is not imposed. We allow for a wide range of degrees of persistence of shocks to conditional variance, allowing for both short and long memory.     

Asymmetric Effects of Interest Rate Changes on Stock Prices

This study examines the stock price adjustment process around announcements of changes in the federal funds rate target in the 1990s using an asymmetric autoregressive exponential GARCH model (ASAR‐EGARCH). We find that target change announcements convey new information to the stock market. Risk aversion increases before the announcement of a rate change, and especially before the announcement of a joint target and discount rate change. The volatility estimates suggest that such joint rate changes send a clearer signal to the stock market about monetary policy objectives relative to unilateral target changes. Our findings are consistent with overreaction in the wake of bad news (rate hikes), and point to a shift in volatility from before to after the rate change announcement since the adoption of the immediate disclosure policy of the Federal Open Market Committee in February 1994.