Stock market volatility forecasting: Do we need high-frequency data?

The general consensus in the volatility forecasting literature is that high-frequency volatility models outperform low-frequency volatility models. However, such a conclusion is reached when low-frequency volatility models are estimated from daily returns. Instead, we study this question considering daily, low-frequency volatility estimators based on open, high, low, and close daily prices. Our data sample consists of 18 stock market indices. We find that high-frequency volatility models tend to outperform low-frequency volatility models only for short-term forecasts. As the forecast horizon increases (up to one month), the difference in forecast accuracy becomes statistically indistinguishable for most market indices. To evaluate the practical implications of our results, we study a simple asset allocation problem. The results reveal that asset allocation based on high-frequency volatility model forecasts does not outperform asset allocation based on low-frequency volatility model forecasts.     

Quantifying the impact of the COVID-19 pandemic on US airline stock prices

This paper uses data at the trading day frequency and the method of local projections to quantify the dynamic responses of U.S. airline stock prices to a COVID-19 shock. We show that airline stock prices decline immediately by 0.1 percentage point in response to a 1% COVID-19 shock. In addition, the effect of the shock persists beyond the day on which it occurs, with most airline stock prices falling by as much as 0.6 percentage points after fifteen days. This negative response of airline stock prices to a COVID-19 shock is not explained by a COVID-19-induced increase in airlines’ variable costs, but rather by a COVID-19-induced decrease in air travel, which, in turn decreases revenues, profitability, and stock prices of U.S. airlines.     

Cross-border exchanges and volatility forecasting

We test for the performance of a series of volatility forecasting models (GARCH 1,1; EGARCH 1,1; CGARCH) in the context of several indices from the two oldest cross-border exchanges (Euronext; OMX). Our findings overall indicate that the EGARCH (1,1) model outperforms the other two, both before and after the outbreak of the global financial crisis. Controlling for the presence of feedback traders, the accuracy of the EGARCH (1,1) model is not affected, something further confirmed for both the pre and post crisis periods. Overall, ARCH effects can be found in the Euronext and OMX indices, with our results further indicating the presence of significant positive feedback trading in several of our tests.     

Testing weak-form market efficiency: Evidence from the Istanbul Stock Exchange

The random-walk version of the efficient market hypothesis is tested for the Istanbul Stock Exchange (ISE) using its composite, industrial, and financial index weekly closing prices. The results obtained from three of the tests indicate that all three series are a random walk, but a nonparametic test provides some evidence against a random walk.     

论本币升值对国内物价的影响路径

本币升值可通过实体经济、虚拟经济以及货币政策三个途径影响一国的国内价格;本币升值通过国内物价影响经济稳定存在一个正反馈机制;从短期来看,人民币升值不仅不能抑制国内物价上涨,还可能推动国内物价的上涨。     

中国郑州棉花期货市场的国际定价功能研究

本文借助计量经济学的分析方法,对郑州商品交易所、纽约期货交易所期棉价格与国内棉花现货价格这三者的关系进行了研究,并测算了郑州商品交易所与纽约期货交易所在价格发现中的贡献份额。研究结果表明,三者之间存在协整关系,纽约期货市场在国际棉花定价体系中占有主导地位,而导致郑州棉花期货市场国际定价功能弱化的原因则是国内棉花期货市场与现货市场缺乏有机联系。     

股票期权的个人所得税问题探讨

股票期权制度是一种新型的薪酬激励制度。股票期权制度作为富有成效的激励制度之一，在发达国家得到了广泛的应用，已成为市场经济国家和地区的企业对员工进行长期激励的非常普遍的方式。近两年来，股票期权成为我国企业改革和发展的一个热门话题，并在部分企业开始实施。如何针对股票期权所得的特点，并借鉴国外经验，制定相应的税收政策，是我们迫切需要解决的问题。本对我国股票期权所得税目、纳税义务发生时间、计税依据、税收优惠及税收征管等作了较为详细的探讨。     

Advertising,Price and Quality in Self–regulating Professions: A Survey

This paper surveys the theoretical and empirical literature on the relationship between advertising, fees and quality in the self–regulating professions. Much of the literature is derived from the perspective of advertising as an information–enhancing device, helping to reduce the information asymmetry between professional and client. This is consistent with the majority of the empirical studies which suggest that advertising tends to have a downward effect on professional fees, with little if any adverse effect on quality. There are, however, important issues of method and measurement which may lessen the force of this conclusion     

CATALOG RETAILER IN‐STOCK PERFORMANCE: AN ASSESSMENT OF CUSTOMER SERVICE LEVELS

The purpose of this article is to study the level of “in‐stock” customer service performance being offered in the catalog channel of distribution. The article provides benchmark information for the catalog industry. More importantly, the article serves as one test of the effectiveness of the modern supply chain, where the expectation is for near perfect orders. Customer service levels are studied by using an empirical observation methodology in which catalog retailer's in‐stock performance was measured. Comparisons are made across item type, season, retailer type, and days from catalog receipt. Overall, items were out‐of‐stock during 15.9% of all checkpoints, compared to an 11.8% stock‐out rate in an earlier study of bricks and mortar retailers.     

纽约股票市场对中国A股市场的影响

首先，本文考察了纽约股市波动对中国A股市场的影响。一般认为，中国的A股市场由于严格的资本控制而免受外国影响。但是，通过月度、每周、每日的样本数据（1992年到2004年），经过季节性调整和汇率变动调整后，我们发现上海和深圳A股市场的变动与美国股票价格指数变动相一致。其次，我们考察国家贝塔值（country beta）在马尔可夫转换误差修正模型中的动态关系。对中国市场来说，国家贝塔值和错误纠正项的重要性紧密相连。在东亚金融危机之前，美国市场对中国A股市场的影响普遍存在，而东亚金融危机产生后，则是通过国家贝塔值来影响中国股市的收益。