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The purpose of this paper is to build alternative indices weighing using a measure of fundamental value rather than debt size. The official bond indices built to reflect general price trends are market weighted, meaning that the bonds are weighted by their debt size. The more indebted, the more weight in the index, which mechanically increments the investment risks that are inherent. Those market indices are shown to be return-to-risk inefficient in recent studies compared to indices with alternative weighting schemes. The authors contribute to this growing literature, which mostly focuses on equities, by testing on bonds.

The authors build alternative indices weighing using a measure of fundamental value rather than debt size. The authors have done this for sovereign bonds using gross domestic product (GDP) figures and for corporates taking sales revenues.

The authors find in empirical tests that the fundamental indices build tend to outperform the market-weighted indices.

This article builds on two articles by Arnott et al. (2005, 2010), in the Financial Analysts Journal and Journal of Portfolio Management, respectively, and adds value in the sense that – it takes an appreciation-free fundamental measure, – tests on the European as opposed to the US bond markets.

We investigate the effect standard time series β‐adjustments have on the OLS‐β. We report that most changes are not statistically significant and the β‐adjustments appear to have no relationship to the extent of thin trading. Researchers using β face the difficult choice of using an estimate known to be biased by thin trading, or making an adjustment that may not be statistically significant.

We examine tick sizes, stock prices, and share turnover in eighteen stock markets in developed countries and find that differences in mandatory tick sizes explain a significant proportion of the variation in stock prices among markets, and that lower percentage tick sizes are not associated with higher turnover. We consider the implications of these findings for the recent decimalization of stock trading in the United States, and conclude that decimal trading is likely to result in lower stock prices (due to stock splits) with no substantial change in dollar trading volume.

Evidence of mean reversion in U.S. stock prices during the post‐World War II era is mixed. I find that using the standard portfolio formation method to construct size‐sorted portfolios is inadequate for detecting mean reversion. Using alternative portfolio formation methods and additional cross‐sectional power gained from size‐sorted portfolios during the period 1963 to 1998, I find strong evidence of mean reversion in portfolio prices. My findings imply a significantly positive speed of reversion with a half‐life of approximately three and a half years. Parametric contrarian investment strategies that exploit mean reversion outperform buy‐and‐hold and standard contrarian strategies.

Bounce-back effect of stock market returns has been found empirically using different approaches. However, few paper explains the underlying mechanism. The paper aims to discuss these issues.

This paper fills this gap and provides an explanation for bounce-back effect in stock market.

This paper contributes to the literature in threefold. The authors contribute a formal economic model to rationalize the bounce-back effect of stock market returns. It is based on a model of stock return with volatility feedback under the assumption of Markov-Switching market volatility.

The authors use the general Markov-Switching bounce-back model, developed by Bec et al. (2015), to provide empirical evidence for the existence of bounce-back effect in stock market. The empirical result shows “W” shape of bounce-back effect, which is exactly the same as predicted by the economic theoretical model. Finally, the authors propose an alternative approach to estimate the magnitude of volatility feedback and the marginal effect on the expected return of an anticipated high variance regime.

The purpose of this paper is to empirically test whether stock liquidity and investor sentiment have interactive effects on seasoned equity offers (SEOs) price discounts in Australia.

The authors focus on the implicit cost borne by firms when issuing seasoned equity capital. This cost is measured as the relative difference between the SEO offer price and the last close price prior to the announcement of the issue. The primary measure of investor sentiment is a composite index constructed similar to that in Baker and Wurgler (2007).

The results show that, in periods of deteriorating investor sentiment, the increase in SEO price discounts for firms with illiquid stocks is larger than the corresponding increase for firms with liquid stocks. This suggests that, as sentiment wanes, investors become even more concerned about illiquidity, leading to even greater required compensation for holding illiquid assets. The authors find that information asymmetry is positively related to SEO price discounts but this relation is not affected by changing investor sentiment.

Collectively, the empirical results provide support for the argument that price discount of SEOs represents compensation to investors for bearing costs associated with illiquidity. The results also lend some support to the behavioural argument that pricing of equity offers is dependent upon investor sentiment, particularly for firms with illiquid stocks.

The ability for firms to raise capital in a cost-effective manner is critical for firm growth and stability. Investors require compensation for bearing the costs of illiquidity of their investments in equity. Accordingly, firms need to be conscious of their stocks’ existing liquidity and its influence on the cost of raising additional capital which, in turn, affects their operational stability and investment opportunities.

Ultimately, the implications of this study will assist firms in capital-raising decisions, investors in making portfolio investment decisions, and investment banks in setting offer prices on equity issues.

To the best of the authors’ knowledge, this is the first study to examine the interaction between investor sentiment and SEO price discounts in Australia.

In this study, the author aims to examine the behavior of QQQ options at the time of the QQQ move from AMEX to NASDAQ on December 1, 2004. The author addresses the questions: is there a relation between hedging and speculation, if such a relation exists considering the improvement in market trading efficiency after the QQQ move did the relation between speculative demand for options and hedging demand for options strengthen at the time of the QQQ move, if such a relation exists does hedging activity follow speculative activity.

The author uses the fact that deep-out-of-the-money puts are used for hedging, whereas deep-out-of-the-money calls are used for speculation. The author uses spectral analysis on QQQ options in the attempt to answer the research question. The author uses spectral analysis because the data in the study are non-normally distributed which would make parametric testing meaningless.

The author finds that indeed the relation between speculative demand and hedging demand for options exists and strengthens after the consolidation of trading on NASDAQ and that hedging follows speculation. The fact that this relation exists is economically meaningful in that this is established for the first time empirically in support of the theoretical models predicting this relation's existence.

Market participants on both the speculation side of the investment spectrum, such as hedge funds, and hedging side of the investment spectrum, such as mutual funds and money managers, would be interested in this topic and the findings of this paper. The main contribution of this study is in examining the relation between differential demand for options by using the non-parametric tools of spectral analysis. This helps extend the understanding of exchange traded funds' (ETF') option behavior and contributes to this strand of the ETF literature.

The purpose of this paper is to examine the relationship between naked short selling and accounting irregularities that cause a firm to issue a restatement.

Using the level of abnormal fails-to-deliver as a proxy for naked short selling, the paper looks for evidence of increased naked short selling in anticipation of, as well as in response to these announcements.

Larger firms and firms with a higher percentage of institutional ownership experience greater levels of fails prior to the announcement day, while smaller firms are more likely to be targets of naked short sellers after the announcement. The paper also finds that more transparent announcements are associated with more abnormal fails.

This paper is the first research to study the relation between naked short selling and accounting restatements.

The purpose of this paper is to investigate how insiders’ trades are executed and whether and how outside investors can mimic outperforming insiders and reap substantial portfolio returns that withstand the erosion from adjustments for both the standard factors and stock characteristics in the asset pricing literature.

The authors design a metric for measuring insiders’ trade execution quality: the trading alpha. The authors run regression analysis to control for trade difficulty, insider reputations and the corporate role ranks of insiders and document the existence of the abnormal trading alpha. The authors further form portfolios based on the abnormal trading alpha and document a significant abnormal return that is robust to both standard asset pricing factors model and the stock characteristics adjustments.

Outperforming insiders at the aggregate level resemble value investors who trade on long-term fundamental information, trade patiently and earn rents from providing liquidity. Outside investors can mimic the outperforming insiders and reap significant abnormal portfolio returns.

Data limitations on insider trades and their association/interaction with their brokers prevent us from having a conclusive investigation of the trading skill hypothesis. The authors hope to further research along the lines of the trading skill hypothesis as compared to investment style hypothesis with more detailed data about the brokers used by insiders.

The findings can be applied for money management profession in that outsider investors can monitor the trading execution and construct portfolios based on the adjusted abnormal trading alpha. The resulting portfolio has been documented to be highly profitable after risk adjustments using standard asset pricing factors as well as stock characteristics.

Professional money managers and outsider investors should be able to benefit from the findings in this paper and use the proposed trading alpha metric to construct and rebalance real-time investment portfolios.

Outperforming insiders at the aggregate level resemble value investors who act on long-term fundamental information, trade patiently and earn rents from providing liquidity. From the perspective of investment implications, outside investors can mimic the outperforming insiders and reap substantial portfolio returns that withstand the erosion from adjustments for both the standard factors and stock characteristics in the asset pricing literature.

The purpose of this paper is to test if the empirical relationship between the size of trades and market liquidity can be pooled across different block sizes on the London Stock Exchange (LSE).

The authors use pooling and non-pooling econometric tests in a panel framework.

When the authors differentiate between various block sizes, the authors find that for trades in excess of 50,000 shares, there is a positive association between the size of the trade and the bid-ask spread, due to a lack of liquidity in the financial market. The results provide strong evidence that an upstairs market may be required in order to provide liquidity for large block trades on the LSE.

This is the first study to directly test if the LSE requires an upstairs market to provide liquidity for large trade transactions.