The Impact of Regulation Fair Disclosure on Information Asymmetry and Trading: An Intraday Analysis

This study examines the impact of Regulation Fair Disclosure (FD) on liquidity, information asymmetry, and institutional and retail investors trading behavior. Our main findings suggest three conclusions. First, Regulation FD has been effective in improving liquidity and in decreasing the level of information asymmetry. Second, retail trading activity increases dramatically after earnings announcements but there is a significant decline in institutional trading surrounding earnings announcements, particularly in the pre‐announcement period. Last, the decline in information asymmetry around earnings announcements is closely associated with a lower participation rate in the pre‐announcement period and more active trading of retail investors after earnings releases.     

Forecasting Stock Index Futures Price Volatility: Linear vs. Nonlinear Models

The study examines the relative ability of various models to forecast daily stock index futures volatility. The forecasting models that are employed range from naïve models to the relatively complex ARCH-class models. It is found that among linear models of stock index futures volatility, the autoregressive model ranks first using the RMSE and MAPE criteria. We also examine three nonlinear models. These models are GARCH-M, EGARCH, and ESTAR. We find that nonlinear GARCH models dominate linear models utilizing the RMSE and the MAPE error statistics and EGARCH appears to be the best model for forecasting stock index futures price volatility.     

Initial Margin Requirements, Volatility, and the Individual Investor: Insights from Japan

Initial margin requirements represent: (1) a cost impediment to the wealth constrained investor and (2) a potential way of mitigating excessive volatility. However, prior empirical research finds that margins are not an effective tool in reducing volatility. We consider the possibility that margins primarily affect certain stocks and investors. Specifically, we test whether margins affect individuals who, as a group, we believe to be the investors most affected when margin requirements change. Our initial empirical tests, however, do not support this contention.     

数字技术融合对企业创新数量与质量的影响

以268家医疗装备企业为研究对象,从Himmpat专利数据库获取2002—2022年的15 446条专利数据,构建“数字-医疗”技术融合网络,基于量与质的视角实证分析数字技术融合对企业创新绩效的影响。采用负二项固定效应回归模型进行实证研究。结果表明,互补性数字技术融合和替代性数字技术融合均对企业创新质量和数量具有正向影响,融合波动性负向调节上述关系。     

Financial Development,Interest Rate Liberalization,and Macroeconomic Volatility

This article examines the relationship between financial development, interest rate liberalization, and macroeconomic volatility in fifty-six emerging and developed economies over the period 1980–2009. We find that financial development plays a significant role in dampening the volatility of macroeconomic growth rate, but up to a limit. The more the interest rate is liberalized, the more likely that financial development can stabilize the economy. Particularly, interest rate liberalization has a more positive influence on emerging and developing countries. Financial development and interest rate liberalization can also alleviate the influence of external shocks. They mutually enhance their functions as economic stabilizers.     

Pricing risky corporate bonds: An empirical study

This paper empirically studies a model for pricing risky corporate bonds proposed by Baaquie—based on the seminal Merton. The proposed model provides an exact solution for the price of a risky corporate bond with a finite maturity and explains the market price of corporate fixed coupon bonds as being the result of the market risk that is carried by the bond. Baaquie's model is empirically tested using 42 fixed coupon bonds issued by 23 US corporations, between 2011 and 2017. It is found that the proposed model estimates most bond prices quite accurately. Market time (similar to the concept of psychological time), which is distinct from calendar time, is quantified in the paper and is an exogenous behavioral parameter that plays a pivotal role in improving the accuracy of the pricing model for long-maturity risky bonds.     

Cross-sectional and time-series momentum returns and market dynamics: evidence from Japan

We test the behavioural theories of overconfidence and underreaction on cross-sectional (CS) and time-series (TS) momentum returns in the Japanese stock markets. Both CS and TS momentum returns are large and significant when the market continues in the same state and turns into losses when the market transitions to another state, consistent with the overconfidence but not the underreaction model. We find that TS conditional momentum returns exceed conditional CS momentum returns because of its active position since TS takes a net long (short) position following UP (DN) markets while CS is a zero-cost strategy irrespective of the market state. Finally, we find no relation between idiosyncratic volatility (IV) and momentum returns which is not supportive of either the overconfidence or underreaction model but implies that IV is not a significant limit to arbitrage in Japan.     

The euro exchange rate during the European sovereign debt crisis – Dancing to its own tune?

This paper studies the determinants of the euro exchange rate volatility during the European sovereign debt crisis, allowing a role for macroeconomic fundamentals, policy actions and the public debate by policy makers. It finds that the euro exchange rate mainly danced to its own tune, with a particularly low explanatory power for macroeconomic fundamentals. The findings of the paper also suggest that financial markets might have been less reactive to the public debate by policy makers than previously feared. Still, there are instances where exchange rate volatility increased in response to news, such as on days when several politicians from AAA-rated countries went public with negative statements, suggesting that communication by policy makers at times of crisis should be cautious about triggering undesirable financial market reactions.     

中国股市波动有限理性归因实证分析

基于中国股市波动特征构建了中国股市的两类机构投资者（积极投资策略和保守型投资策略的机构投资者）投资理性模型。随后,借助计量软件对上证指数的时序数据和这一模型生成的数据进行拟合分析．分析这两个有限理性投资者对上证指数的超额波动所起的作用。最后,利用格兰杰检验法．检验这些变量之间的解释程度。     

Spillovers between Bitcoin and other assets during bear and bull markets

This article contributes to the embryonic literature on the relations between Bitcoin and conventional investments by studying return and volatility spillovers between this largest cryptocurrency and four asset classes (equities, stocks, commodities, currencies and bonds) in bear and bull market conditions. We conducted empirical analyses based on a smooth transition VAR GARCH-in-mean model covering daily data from 19 July 2010 to 31 October 2017. We found significant evidence that Bitcoin returns are related quite closely to those of most of the other assets studies, particularly commodities, and therefore, the Bitcoin market is not isolated completely. The significance and sign of the spillovers exhibited some differences in the two market conditions and in the direction of the spillovers, with greater evidence that Bitcoin receives more volatility than it transmits. Our findings have implications for investors and fund managers who are considering Bitcoin as part of their investment strategies and for policymakers concerned about the vulnerability that Bitcoin represents to the stability of the global financial system.