Animal Spirits,Margin Requirements,and Stock Price Volatility

A simple overlapping generations model is used to characterize the effects of initial margin requirements on the volatility of risky asset prices. Investors are assumed to exhibit heterogeneous preferences for risk-bearing, the distribution of which evolves stochastically across generations. This framework is used to show that imposing a binding initial margin requirement may either increase or decrease stock price volatility, depending upon the microeconomic structure behind fluctuations in economy-wide average risk-bearing propensity. The ambiguous effect on volatility similarly arises when the source of heterogeneity is noise trader beliefs.     

Margin Regulation and Stock Market Volatility

Using daily and monthly stock returns we find no convincing evidence that Federal Reserve margin requirements have served to dampen stock market volatility. The contrary conclusion, expressed in recent papers by Hardouvelis (1988a , b ), is traced to flaws in his test design. We do detect the expected negative relation between margin requirements and the amount of margin credit outstanding. We also confirm the recent finding by Schwert (1988) that changes in margin requirements by the Fed have tended to follow rather than lead changes in market volatility.     

The Asymmetric Relation Between Initial Margin Requirements and Stock Market Volatility Across Bull and Bear Markets

Higher initial margin requirements are associated with lowersubsequent stock market volatility during normal and bull periods,but show no relationship during bear periods. Higher marginsare also negatively related to the conditional mean of stockreturns, apparently because they reduce systemic risk. We concludethat a prudential rule for setting margins (or other regulatoryrestrictions) is to lower them in sharply declining marketsin order to enhance liquidity and avoid a depyramiding effectin stock prices, but subsequently raise them and keep them atthe higher level in order to prevent a future pyramiding effect.     

Stock Return Volatility and Dividend Announcements

This paper is based on models presented in Kim and Verrecchia (1991a, 1991b) relating to share price volatility and the quality of announcements. It investigates the differences in informational quality between dividend cuts and dividend rises, and between interim and final dividend announcements. The results indicate that when dividends are cut, the interim announcement is perceived as being more significant than the final, whereas the reverse is true when dividends are increased. Implied standard deviations suggest that volatility is expected to peak on the day of final announcements. A peak is also expected after interim announcements of a cut in dividend, but not after announcements of an increase.     

The Impact of Catastrophes on Insurer Stock Volatility

This article investigates the impact of natural catastrophes and the 9‐11 attacks on (1) the volatility of insurance stocks and (2) the correlation of insurance stocks with the market. We find that natural catastrophes increase the volatility of insurance stocks. They also have a tendency to reduce the correlation of insurance stocks and the market. Investors can, consequently, diversify natural catastrophe risk by additionally holdings of a market portfolio. However, this does not hold for 9‐11. The events of 9‐11 led to increases in volatility and, simultaneously, to an increase in correlation. We also find evidence that 9‐11 increased the beta of insurance stocks.     

融资融券对我国股市波动性的影响

本文采集股价指数月收益率和融资融券交易额每月日平均变化率的数据,针对融资融券对我国股市波动性的影响,进行实证检验,并对结果做进一步的解释。     

The Shareholder Base Hypothesis of Stock Return Volatility: Empirical Evidence

We use Swedish ownership data to explore whether a large and diversified shareholder base leads to lower volatility by improving the information content of stock prices. We find that volatility increases in the number of shareholders with respect to both the number of relatively large shareholders and the fraction of shares held by investors with stakes below 0.1%. Volatility is also positively related to the number of institutional owners but negatively related to the number of large and underdiversified institutional owners. Foreign investors have no impact. Our results suggest that a large shareholder base does not lower volatility.     

融资融券保证金调整对股市波动的影响研究——基于断点回归的实证检验

本文以2015—2016年沪深300指数的股市收益率数据为样本,采用精确断点回归设计,评估证交所官方首次调整融资融券保证金对股市波动产生的影响。断点回归结果表明,在股市剧烈波动时期,提高融资融券保证金能够有效抑制股市波动。进一步分析发现,我国股票市场中小投资者占比较高且投机性较强,如果监管部门提高保证金比例,个人投资者会因其自身财富限制被迫退出市场。断点处流动性没有发生明显变动,表明保证金逆周期调节主要是基于投机效应。此外,我国市场融资融券交易比例严重失衡也增加了股市波动的风险。为维护股票市场稳定,本文从加强市场层面监管、调整融资融券交易比例、完善信息披露机制、健全保证金监管制度等方面提出了具体的政策建议。     

Federal Reserve Monetary Policy and Industry Stock Returns

Recent studies identify stock return patterns associated with changes in Federal Reserve monetary policy. We find that these return patterns prevail across sixteen industry stock indices. However, significant cross-industry variation exists as the apparel industry exhibits mean annual returns that are 50% higher under an expansive Fed policy than under a restrictive policy, while the same return difference for the oil industry is only 20%. This cross-industry variation suggests that monetary conditions may be used by investors to estimate different expected returns across industries. Furthermore, the findings support the view that monetary considerations should be considered in ex ante asset pricing models such as the CAPM.     

融资融券试点对我国股票市场波动性的影响实证研究

融资融券交易正式启动对我国股票市场将产生什么样的波动性影响,是学术界和理论界共同关注的焦点。本文在前人研究基础上,从我国实际情况出发,以标的证券指数——上证50指数与深证成指指数作为影响我国股票市场的代表展开实证,运用GARCH族模型,引入虚拟变量D,其中D用来刻画融资融券推出前后对我国股票市场的影响。通过建模,得出融资融券试点一年多时间以来有利于减小我国股票市场波动性的结论。     

The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics

Abstract:  This paper investigates the impact of the introduction of Universal Stock Futures (USFs) on underlying market dynamics (volatility and the level of feedback trading). Analysis of USFs provides a number of advantages compared to investigation of index futures, leading to reliable and wider ranging insights into the impact of derivatives. Specifically: (i) any impact of derivatives is more likely to be evident in the behaviour of individual stocks; (ii) with USFs it is possible to directly trade the underlying; (iii) USFs have multiple introduction dates within a given market; (iv) differential country/industry effects can be identified; and (v) the endogeneity issue can be addressed using control stocks. Findings suggest limited feedback trading in USF stocks, but listing has reduced this further. While news has less impact and persistence and asymmetry effects are more evident post-futures, control stock results suggest these changes are not futures induced. Differences are evident across industries. The need for analysis of an appropriate (industry based) control sample is highlighted if reliable policy conclusions are to be reached.     

An Investigation of the Impact of Interest Rates and Interest Rate Volatility on Australian Financial Sector Stock Return Distributions

Abstract:   This paper extends the existing literature by analysing the dual impact of changes in the interest rate and interest rate volatility on the distribution of Australian financial sector stock returns. In addition, a multivariate GARCH‐M model is used to analyse the impact of deregulation on the financial institutions sector. It was found that there is a consistent inter‐temporal trade off between risk and return over the different regulatory periods. Moreover, finance corporations were found to be highly sensitive to new shocks across the financial sector and deregulation increased the risk faced by finance corporations and small banks – effectively increasing the required rate of return and explaining the continued rationalisation of these sectors. Furthermore, deregulation has changed the fundamental relationship between interest rates and large bank stock excess returns from positive in the pre‐deregulation period to negative in the post‐deregulation period. This reflects the changing institutional environment from one of controlled credit rationing to a more competitive environment.     

融资融券交易对市场和标的个股波动影响的研究

作为证券市场的重要制度之一,融资融券交易理论上应具有价格发现,价格稳定,提高流动性等基本功能。本文从融资、融券交易对市场和个股两个层面系统而全面的分析融资交易和融券交易的价格稳定作用。对市场波动性的影响的研究上主要借助GARCH族模型,VAR模型,脉冲响应和方差分解等计量分析方法;在对个股的影响上主要是借助面板数据分对个股的总体效应和个体效应展开分析。研究发现：融资交易对指数波动没有显著影响,融券交易对指数波动有一定平抑作用;融资融券交易对标的个股有价格稳定作用,除极个别个股的融资作用表现不确定。     

中国股票市场的节日效应研究——基于收益和波动的视角

为研究中国股市节日效应的存在性及特征,本文利用2007年12月28日—2017年10月30日上证综指日收益率数据,基于引入虚拟变量的GARCH (1,1)-M模型,从收益和波动两个角度研究中国股市的节日效应。综合检验发现,中国股市存在基于收益的节前效应,同时表现出基于波动的显著的节前和节后效应;节前节后股市风险均显著降低,但只有节前收益受到了风险的影响。具体分析每一节日发现,部分节日具有节日效应,且各节日的节日效应不同,个别节日的异常收益与风险有关。法定节日比传统节日的节日效应显著,这一现象的产生与休市有关,而休市能对节日效应产生正向影响。     

How Persistent is Stock Return Volatility? An Answer with Markov Regime Switching Stochastic Volatility Models

Abstract:  We propose generalised stochastic volatility models with Markov regime changing state equations (SVMRS) to investigate the important properties of volatility in stock returns, specifically high persistence and smoothness. The model suggests that volatility is far less persistent and smooth than the conventional GARCH or stochastic volatility. Persistent short regimes are more likely to occur when volatility is low, while far less persistence is likely to be observed in high volatility regimes. Comparison with different classes of volatility supports the SVMRS as an appropriate proxy volatility measure. Our results indicate that volatility could be far more difficult to estimate and forecast than is generally believed.     

基金激励机制的变化对股市波动的影响研究

依据中国基金激励机制经历的四个阶段,将1998年4月7日～2011年6月30日分成四个时间段。采用EGARCH-M模型并引入虚拟变量对不同时间段的激励机制进行比较研究,发现在中国基金市场中,固定比率的管理费激励机制对股市波动的影响最小。因此,从股市稳定的角度来说,中国基金市场应采取固定比率的管理费激励机制。     

Ex Ante Stock Market Return Volatility Implied by the OEX Option Premium

Previous empirical evidence suggests that stock return volatility expectations change over time, but the existing models of time-varying variance lack a theoretical structure that is rigorously linked to the efficient markets dividend discount model. This paper develops and tests such a model. The conditional forecast variance of the return on the stock market portfolio is expressed as a linear combination of the adjusted conditional forecast variance of the interest rate and the dividend growth rate. An empirical test using the implied variance of the S&P 100 index option provides evidence that supports the model's predictions.     

What Explains the Stock Market's Reaction to Federal Reserve Policy?

This paper analyzes the impact of changes in monetary policy on equity prices, with the objectives of both measuring the average reaction of the stock market and understanding the economic sources of that reaction. We find that, on average, a hypothetical unanticipated 25‐basis‐point cut in the Federal funds rate target is associated with about a 1% increase in broad stock indexes. Adapting a methodology due to Campbell and Ammer, we find that the effects of unanticipated monetary policy actions on expected excess returns account for the largest part of the response of stock prices.     

融资融券交易对市场和标的个股波动影响的实证研究

作为证券市场的重要制度之一,融资融券交易理论上应具有价格发现、价格稳定、提高流动性等基本功能。本文从融资、融券交易的价格稳定理论机制出发,针对市场和个股两个层面系统而全面地分析融资交易和融券交易的价格稳定作用。研究发现：融资交易对指数波动没有显著影响,融券交易对指数波动有一定平抑作用;融资融券交易对标的个股有价格稳定作用,除极个别个股的融资作用表现不确定。