基于ARIMA模型对上证国债指数的预测研究

债券价格变化受很多不确定因素影响,而各个因素之间的相关关系又错综复杂,所以从理论上完全弄清楚债券的变化机理是件冗杂的事情,也非常困难。然而,债券是一个运动的、特殊的系统,也存在着可以被探索到的规律。本文以上证国债指数为例,选取2008年7月1日至2009年7月31日的日收盘价作为数据,利用Eviews软件对该数据建立自回归移动平均模型,对上证国债指数进行预测,并对预测效果给予评价,提出采用一步向前静态预测方法对国债价格进行短期预测的方法,可为国债发行主体和投资者进行相关决策时提供参考。     

Financial constraints and asset pricing: comprehensive evidence from London Stock Exchange

This study provides comprehensive evidence on the pricing of financial constraints (FC) risk on London Stock Exchange during the period 1988–2013. Utilizing a large number of proxies for FC, we find that investors are not compensated with higher premia for holding shares of financially constrained firms. To the contrary, in most of the cases, the most constrained firms significantly underperform, both statistically and economically, the least constrained ones. Focussing on the Whited–Wu index to construct a zero-cost FC factor that goes long the most constrained firms and sells short the least constrained ones, we find that this factor carries a significantly negative premium and it is priced in the cross-section over and above the commonly used risk factors.     

Stock prices and the flow of information in the Athens Stock Exchange

The paper investigates the dynamics of price changes and information flow to the market in the Athens Stock Exchange in Greece using daily data over the period 1988 to 1993. A generalised autoregressive conditional heteroskedastic (GARCH) model in stock returns is shown to reflect time dependence in the process generating information flow to the market. Using daily trading volume or value as proxies for information flow, we find them to be significant in explaining the variance of daily returns and to reduce GARCH effects substantially. This has implications for the informational efficiency of the market.     

Information-based trade in the Shanghai stock market

We show that the probability of information-based trade (PIN) played a significant role in explaining monthly returns on Shanghai A shares over the period 2001 to 2006. In particular, PIN, as approximated by order imbalance as a proportion of total transactions, appears to explain returns even after controlling for risk in the much-cited Fama and French [Fama, E. F. & French, K. R. (1992). The Cross-Section of Expected Stock Returns. Journal of Finance, XLVII, 427–465.] three-factor model. However, we also find that some of the PIN effect appears to be indistinguishable from a turnover effect.     

Dynamic volatility and external security related shocks: The case of the Athens Stock Exchange

This paper analyses the impact of exogenous national security related shocks on the time-varying volatility structure of the Greek stock market. Alternative autoregressive conditional heteroscedastic models are estimated, in order to identify the best fit that adequately describes return volatility behavior, testing symmetric as well as asymmetric innovation responses. An external national security related shock factor is included as well as a military crisis dummy, in order to depict possible implications for the conditional variance. The empirical findings appear to support a statistically significant impact of both national security related factors on the Athens stock market returns.     

Interday and intraday volatility: Additional evidence from the Shanghai Stock Exchange

After examining both the interday and intraday return volatility of the Shanghai Composite Stock Index, it was found that the open-to-open return variance is consistently greater than the close-to-close variance. Examining the volatility of interday returns and variance ratio tests with five-minute intervals reveals an L-shaped pattern, or more precisely, two L-shaped patterns, starting with a small hump during both the morning and the afternoon sessions, with the morning session having a much higher interday volatility than the afternoon session. This L-shaped interday volatility is supported by the similarly shaped intraday volatility pattern. This result suggests that the high volatility of intraday returns for the market open is not entirely due to the trading mechanisms (call auction in the market opening) but also due to both the accumulated overnight information and the trading halt effect. The five-minute breaks after the auction and blind auction procedures are the two major driving forces which exaggerate the high intraday volatility observed at the market open.

The Proof of the Pudding: The Effects of Increased Trade Transparency in the London Stock Exchange

The trade publication rules of the London Stock Exchange were changed on 1 January, 1996, to increase transparency. This paper investigates whether these changes affected market behaviour by examining data on 60 firms from the FTSE 100, FTSE Mid 250 and the FTSE Small Cap indices before and after this rule change. This study finds there has been a major increase in transparency, with no detrimental effects on the quality of the market. In particular, neither the volume nor the traded bid-ask spread has been adversely affected.     

人民币汇率与我国股价、房价的联动关系研究

近年来,我国人民币汇率形成机制、股票市场和房地产市场发生了巨大变化,人民币汇率和股价、房价之间的信息传导和波动关联备受瞩目。本文采用VAR-MGARCH-BEKK模型,分析了我国人民币汇率、股价和房价之间的联动关系。研究结果表明,从波动的溢出效应来看,人民币汇率的波动率、股票价格的增长率和房地产价格的增长率之间存在非常明显的波动溢出效应;从资产价格的水平影响来看,人民币汇率与股票价格、房地产价格等国内资产价格的水平相关性较弱,而股票价格对房地产价格的影响较明显,并就该结论提出了相关的理论解释和政策建议。     

Net Settlement and Counterparty Risk: Evidence from the Formation of the New York Stock Exchange Clearing House in 1892

The securities settlement literature indicates that centralized settlement can reduce monitoring incentives and lead to excessive risk‐taking and inefficient risk‐sharing. This paper examines broker‐failure rates and counterparty losses surrounding the transition from bilateral to multilateral settlement facilitated by the NYSE. Study results provide evidence that net settlement reduced failures without diminishing risk constraining incentives. The study constructs a controlled comparison of broker failures through data collected from the NYSE and the Consolidated Stock Exchange, which traded identical securities settled under different systems. The results suggest that multilateral settlement is advantageous when financial markets are highly stressed.     

The role of stochastic volatility and return jumps: reproducing volatility and higher moments in the KOSPI 200 returns dynamics

This paper investigates the role of stochastic volatility and return jumps in reproducing the volatility dynamics and the shape characteristics of the Korean Composite Stock Price Index (KOSPI) 200 returns distribution. Using efficient method of moments and reprojection analysis, we find that stochastic volatility models, both with and without return jumps, capture return dynamics surprisingly well. The stochastic volatility model without return jumps, however, cannot fully reproduce the conditional kurtosis implied by the data. Return jumps successfully complement this gap. We also find that return jumps are essential in capturing the volatility smirk effects observed in short-term options.