Index options open interest and stock market returns

This study finds that the growth of index options open interest has a significant relation with future stock market returns. We propose a theoretical model that considers hedgers and informed traders in the options market and suggests that hedgers fully utilize options according to their expectations of future stock returns. The empirical results show that the growth of out-of-the-money call options open interest is significantly related with future stock market returns. These findings provide supporting evidence for our theoretical model.     

A smiling bear in the equity options market and the cross-section of stock returns

We propose a measure for the convexity of an option-implied volatility curve, IV convexity, as a forward-looking measure of risk-neutral tail-risk contribution to the perceived variance of underlying equity returns. Using equity options data for individual US-listed stocks during 2000–2013, we find that the average realized return differential between the lowest and highest IV convexity quintile portfolios exceeds 1% per month, which is both economically and statistically significant on a risk-adjusted basis. Our empirical findings indicate the contribution of informed options trading to price discovery in terms of the realization of tail-risk aversion in the stock market.     

Abnormal trading volume and autoregressive behavior in weekly stock returns in the Saudi stock market

This paper examines the relationship between the abnormal change in trading volume of both individual stocks and portfolios and short-term price autoregressive behavior in the Saudi stock market (SSM). Our objective is to investigate the informational role that trading volume plays in predicting the direction of short-term returns. We evaluate whether the abnormal change in lagged, contemporaneous, and lead turnovers affects serial correlation in returns. Specifically, we examine if and when the change in volume produces momentum (positive correlation) or reversal (negative autocorrelation) in consecutive weekly stock returns.We find a reversal in weekly stock returns when conditioned on the change in lagged volume in the SSM. Our results are consistent for the whole sample, the two sub-sample periods, and the large- and small-firm portfolios. The results are consistent with Campbell, Grossman, and Wang [Campbell, J. Y., S. J. Grossman, and J. Wang, 1993, Trading volume and serial correlation in stock returns, Quarterly Journal of Economics, 108, 905–939], who present a model in which risk-averse market makers accommodate the selling pressure of liquidity or non-informational traders. We also find that reversal is more pronounced with the loser portfolio as specified by filter-based methodology. The overall result of this paper is also consistent with the empirical findings of Conrad, Hameed, and Niden [Conrad, J., A. Hameed, and C. Niden, 1994, Volume and autocovariances in short-horizon individual security returns, Journal of Finance 49, 1305–1329.] and Gebka [Gebka, B., 2005, Dynamic volume-return relationship: evidence from an emerging market, Applied Financial Economics, 15, 1019–1029] in which they report price reversal for stock with high trading volume.     

Macroeconomic shocks and the co-movement of stock returns in Latin America

This paper studies the economic sources underlying the co-movement of real stock returns in Latin America. Following the literature on structural vector autoregressive models (SVARs), I use long-run restrictions to identify three structural shocks: demand, supply, and portfolio shocks. For some countries, portfolio shocks are important factors behind real stock returns. Furthermore, these shocks seem to be important in explaining cross-country co-movement patterns. However, these findings are not statistically strong due to the degree of uncertainty about the estimates of the importance of each structural shock and the cross-correlation coefficients. Therefore, macroeconomic shocks (supply and demand) cannot be neglected in accounting for the dynamics of real stock returns.     

Linking new product alliances to stock returns and risk

Although firms widely engage in new product alliances, prior research has paid limited attention to their financial impact, especially, both stock returns and risk. In addition to the direct impact of product alliances, I have assessed how firm and alliance characteristics can moderate such effects. I have examined firm size and alliance type as moderators to the product alliance and stock performance relationship. Using a large database of 506 firms and 3714 new product alliances over 21 years, I estimate a random effects model. My findings are that new product alliances demonstrate an increase in stock returns and a decrease in stock risk. In addition, these effects are heterogeneous across firm size and alliance type. This research has implications for both new product alliances and marketing-finance interface literature.     

Innovation source,advancement stage and company stock returns

The purpose of this paper was to measure the short- and long-term impact of innovation announcements on the stock returns of service companies. In order to study the predictors of the abnormal stock returns, the study takes the adoption and diffusion theory as its conceptual background. The research was based on an event study and buy-and-hold methods. It encompassed 398 announcements released for 121 companies in EU member states between February 2011 and December 2016. The study deepens the dialogue on the role of the source of innovation and its advancement stage. It indicates a positive market reaction to high innovation advancement stage announcements in comparison to low advancement stage ones. Furthermore, it suggests a positive market reaction to in-house development in comparison to collaborative development and copying. Finally, the research signals that the innovation advancement stage complements its source by clarifying its relationship with abnormal market value changes.     

Option-implied betas and the cross section of stock returns

We investigate the cross-sectional relationship between stock returns and a number of measures of option-implied beta. Using portfolio analysis, we show that the method proposed by Buss and Vilkov (2012, The Review of Financial Studies, 2525, 3113–3140) leads to a stronger relationship between implied beta and stock returns than other approaches. However, using the Fama and MacBeth (1973, Journal of Political Economy, 8181, 607–636) cross-section regression methodology, we show that the relationship is not robust to the inclusion of other firm characteristics. We further show that a similar result holds for implied downside beta. We, therefore, conclude that there is no robust relation between option-implied beta and returns.     

The impact of crisis events on the stock returns volatility of international airlines

This paper adopts the generalized autoregressive conditional heteroskedasticity model to examine the relationship between the weekly returns of shares of the international airlines in 1996–2010. It also incorporates major international crisis events and observes the influence of different aspects on the volatility of returns of company shares. Different events exhibit significantly different regional volatility impulses in the countries in which the airlines are located. The Asian financial crisis enhances the returns volatility effects of Asian airline companies. The global financial crisis significantly intervenes with the returns volatility of airline companies around the world. The results suggest that major international events may all have risk effects on the returns on the share prices of airlines.     

Machine learning and the cross-section of emerging market stock returns

This paper compares various machine learning models to predict the cross-section of emerging market stock returns. We document that allowing for non-linearities and interactions leads to economically and statistically superior out-of-sample returns compared to traditional linear models. Although we find that both linear and machine learning models show higher predictability for stocks associated with higher limits to arbitrage, we also show that this effect is less pronounced for non-linear models. Furthermore, significant net returns can be achieved when accounting for transaction costs, short-selling constraints, and limiting our investment universe to big stocks only.     

Show me the money: Option moneyness concentration and future stock returns

Informed traders often use options that are not in-the-money due to higher potential gains for a smaller upfront cost. Thus, trading activity by option moneyness should be a gauge of informed option trading. We construct a dollar volume-weighted average moneyness measure to capture option trading activity at different moneyness levels. Stock returns increase with this measure, suggesting more trading activity in options with higher leverage predicts future stock returns. Our results hold cross-sectionally and at the portfolio level yielding a Fama–French five-factor α of 12% per year for all stocks and 33% per year for high implied volatility stocks.     

股指期货对股票市场的影响分析

中国股票市场发展至今已有近18年的历史,多年来,由于缺乏有效的风险对冲工具,市场一直处于一条腿走路的尴尬局面.而股指期货的推出必将对股票市场产生重大影响,本文将就此做简要的分析.     

中国股市β系数稳定性研究

β系数是证券或证券组合与市场相互关联的一个概念和参数,它是衡量证券系统风险的重要指标,β系数的稳定性也一直是学术界和投资者特别关注的焦点。本文通过中国股票市场的31个行业数据的研究,得到中国股市样本β值在单位β值(1.00)附近上下波动并呈正态分布;也可以得到组合的β系数还是有较好的稳定性结论。     

Evidence on the dynamic relationship between international trade and the stock market

This study uses vector autoregressive analysis to examine the dynamic interactions of monthly real stock returns, return volatility, exchange rates, export growth and import growth for Hong Kong, Korea, Singapore, and Taiwan for the period 1975–91. We find that exports and imports have significant interactions. The results also indicate that stock returns in Hong Kong and Singapore Granger-cause trade flows. Return volatility is found to react strongly to trade news in all four countries, a result supporting the efficient-market hypothesis.     

Modelling spillovers between stock market and FX market: evidence for Nigeria

Abstract

The need to capture the foreign exchange (FX) and stock markets nexus in Nigeria is underscored by the rapidly expanding financial markets integration due to trade and financial liberalization policies which seem to have enhanced the inflow of capital as well as accelerated investment/business interactions. Using variants of the VARMA-AMGARCH model of McAleer, Hoti, and Chan (2009), we find that volatility persistence in the stock market is accentuated by bad news in the market and moderated by good news in the FX market. Finally, we establish that ignoring the asymmetric effects may exaggerate the spillover results.     

Islamic legal methodologies and Shariah screening standards: Application in the Indonesian stock market

This article provides a framework for applying the principles of Islamic legal methodology to determine the optimal Shariah screening standards for Islamic equity markets. It is argued that using maslahah mursalah (unrestricted benefit) is an appropriate method for identifying appropriate financial standards and its principles stipulate that the benchmark that yields the best economic returns to investors should be chosen. The methodological framework is applied to the Indonesia equity market where the economic implications of the Islamic stock screening standards of the Indonesian Islamic Shariah Stock Index and four global indices are assessed. Portfolios are constructed by applying Islamic stock screening standards for each of the indices by using data on 377 stocks listed in the Indonesian stock market for 5 years. The performances measured by the Sharpe ratio, Treynor index, and Jensen alpha reveal that the Dow Jones Islamic Index screening criteria performs the best. Based on the method of maslahah mursalah, the article recommends using the screening standard of this index in the Indonesian stock market to maximize benefits to investors. While the approach used in this article is applied to Islamic equity markets, the methodological framework can also be used for other similar cases in Islamic finance.     

A secure,real-time stock market protocol

Stock markets constitute the largest electronic commerce market in the world. The tremendous growth in trading volume and the need for fast and accurate transaction execution has made the stock market one of the most technology friendly markets. The fastest growing stock exchange, NASDAQ, is a wholly electronic stock exchange with all transactions conducted over computer networks. However, the transaction model used by NASDAQ and other electronic stock markets still borrows heavily from the older traditional models used by non-electronic stock exchanges. Two important requirements of modern day stock market transactions are: (a) customer's ability to place sophisticated transaction orders to buy/sell stock, and (b) customer's ability to detect transaction delays. Modern electronic stock exchanges lack both the ability to place newer, more sophisticated transaction orders and the ability to detect delays in transaction execution. In this paper, we propose a protocol for stock market transaction that can model a new sophisticated model for transaction orders while continuing to support traditional transaction orders. The protocol is augmented with a mechanism to detect delays in transaction execution. It is further shown that the protocol proposed is secure, atomic, anonymous, private, and incurs low overhead costs. This revised version was published online in June 2006 with corrections to the Cover Date.     

中国股市SEO后股票收益及公司业绩的双重长期弱势表现

以中国股市于2000年和2001年间进行新股增发的33支A股股票为样本研究发现,增发后SEO股票无论是在投资收益方面还是在公司业绩方面,长期内都表现出显著的弱势现象。在进一步研究弱势表现的原因时发现,SEO前发行公司过度的盈余管理导致了发行后经营业绩的长期弱势表现;SEO前,投资者对即将增发的股票存在着系统性高估,SEO后的长期股票收益弱势是投资者根据发行后公司的实际业绩对原本过度乐观的预期逐步进行理性调整的结果。     

Income and social communication: The demographics of stock market participation

This paper analyses the determinants of stock market participation decisions using officially compiled aggregate stock account opening data in China. Different from the literature that often focuses on one particular dimension, our paper systematically evaluates the relative importance of disposable income, demographic variables, macroeconomic factors, stock market conditions and social communication on both the level and the change of the participation rate. We find that the level of the participation rate is predominately determined by the income factor, followed by various measures of social communication. Social communication plays the most important role in the change of the participation rate, acting as a multiplier to stimulate stock market participation. The effects are more pronounced in high‐income, high‐education, high‐population‐density groups and during the bull market period.     

Business returns from gold price fixing and bullion trading on the interwar London market

From September 1919, the world price of gold was ‘fixed’ daily in London by a small group of licensed traders. The arrangement was not ideal, as it advantaged the traders concerned, but it was seen by the Bank of England at the time as critical to British economy recovery and to the maintenance of London’s position as a world trading centre. This article examines the available archival evidence on whether direct knowledge of the workings of the mechanism enabled Mocatta and Goldsmid, traders central to the operations of the ‘gold fix’, to earn unusually high profits across the interwar period.     

Price monotonicity violations during stock market crashes: Evidence from the SSE 50 ETF options market

This study empirically tests whether price violations, as defined by Bakshi, Cao, and Chen (2000), show different patterns in response to market shocks. Specifically, we analyze the Chinese options market during a period covering a stock market crash and a series of trading restrictions in the Chinese derivatives markets. Our results confirm the significant changes of the defined violations in the face of unexpected shocks, and more importantly, we interpret such variations from the perspective of information spillovers. Our findings suggest that the stock market crash prompts informed traders in the Chinese options market to frequently adjust their positions on put options, exacerbating the misunderstandings and overreactions to new information. Further, the regulatory shock in the derivatives markets diminishes the efficiency of information incorporation for both options and spot markets but does not affect the dominance of the Chinese options market in price discovery.