Search results

The purpose of this paper is to investigate the strategy that a turnaround in the USA will portend a turnaround in the UK's economy and property market. For this strategy to operate, it is assumed that the capital and property markets in and between the two nations are highly integrated with endogenous pricing functions.

Given the endogenous assumptions of the conjectured research statement, tests of integration (or segmentation) between two capital and property markets are conducted. Correlation, tracking error analysis, and a multiple systematic risk factor model are used to test the pricing relationships. The methodological form employs variant macroeconomic variable pricing models (MVM) of alternative combinations of systematic affects operating across and between the national markets.

Pricing integration is noted between the UK and US capital markets, while the property markets are economically and statistically segmented. Opportunities for arbitrage based on different prices/returns for equivalent risk exposures are statistically observed between the UK and USA. The effect is that systematic pricing between the two markets cannot be addressed solely by diversification options. This infers a potential for arbitrage (statistically, strategically or in practice) is possible, given that systematic risk exposures between the two markets are not equivalently priced across cyclical phases. In this context it is inferred that the probable measure of pricing differences across the two markets is more than a cyclical lag effect.

The paper delineates the degrees of integration/segmentation in the UK and US property and capital markets as a function of systematic risks in changing economic conditions. These differences support the existence of statistical arbitrage and the specification of investment behaviour as a function of differencing pricing expectations. These findings can assist in the formulation of investment and hedging strategies to assist in managing international portfolios subject to cyclical market exposures. This paper contributes to an understanding of and foundation for testing the nature and impact of cycles on property investment performance as a function of pricing changes.

The purpose of this paper is to study the pricing efficiency of convertible bonds and arbitrage opportunities between the convertible bonds and the underlying stocks thus improve market efficiency.

Using nonparametric fixed effect panel data model, the authors build pricing model of convertible bonds and obtain fitted value for them. Then the authors constructs simultaneous confidence band for the smooth function to identify mispricing and study the pricing efficiency and arbitrage opportunities of convertible bonds.

Result shows, convertible bonds’ prices largely depend on stock prices. Pricing efficiency does not improve during the past few years as there are quite a few trading opportunities. Arbitrage opportunities increase as the stock prices approach it maxima, and selling opportunities for convertible bonds surpass buying opportunities which indicates that investors use market neutral strategies to arbitrage. Pricing efficiencies varies a lot and it is affected by the features of the stocks and convertible bonds. Index stocks eligible for margin trading with high liquidity enjoy higher pricing efficiency.

The study does not take into account trading cost and risk management measures.

Arbitrage between the underlying and the convertible bonds is profitable and contributes to pricing efficiency therefore should be encouraged. The regulator should pay attention to the extreme mispricing of the underlying and convertible bonds which cannot be corrected by the market as there might be manipulation.

Since traditional pricing methods are based on the framework of non-arbitrage equilibrium with the assumption of balanced and perfect market, there are many restrictions in the pricing process and the practical utility is somewhat limited, and the impractical assumptions lead to model risk. This study uses nonparametric regression to study the pricing of convertible bonds thus circumvents the problem of model risk. Simultaneous confidence band for smooth function identifies mispricing and explicitly reflects the variation of pricing efficiency as well as signalizes trading opportunities. Application of nonparametric regression and simultaneous confidence band in derivative pricing is advantageous in accuracy and simplicity.

This paper makes attempt to test the firm‐level long‐term asset growth (LAG) effects in returns by examining the cross‐sectional relation between firm‐level LAG and subsequent abnormal stock returns. The purpose of this paper is to investigate whether limits‐to‐arbitrage can explain this asset growth anomaly in Chinese stock market.

Empirical research was carried out.

The empirical results show that asset growth anomaly in A‐share stock market is significant and robust. The conclusion provides more evidence for the existence of asset growth anomaly. Additionally, arbitrage risk indicated by idiosyncratic risk cannot explain the anomaly, arbitrage risk indicated by accounting information transparency can partly explain the anomaly, and arbitrage cost proxied by Amihud's measure of illiquidity indicator can completely explain the asset growth anomaly in A‐share stock market.

The results of this paper imply that strengthening the disclosure of firm information and improving the liquidity of the market are important to improve the efficiency of the A‐share stock market.

The paper selects the sample of non‐financial listed companies in A‐share stock market to research the asset growth anomaly and investigates whether limits‐to‐arbitrage can explain this anomaly. This paper proves the existence of asset growth anomaly in A‐share stock market and is a good reference for further researches.

This paper examines the extent to which noise demand and limits of arbitrage affect the pricing of acquirer stocks both at the announcement period and over the longer horizon.

An event study approach was adopted to measure announcement-period cumulative abnormal returns. Long-horizon returns are measured using buy-and-hold abnormal returns (BHARs), calendar time portfolios (CTPRs), and subsequent earnings announcement period abnormal returns. Main methodologies include ordinary least squared (OLS) regressions, Logit regressions, and portfolio analysis.

(1) Acquirer stocks with high idiosyncratic volatility (the proxy for the security level characteristic most directly associated with limits to arbitrage) earn higher announcement-period abnormal returns. (2) The return pattern reverses over the subsequent longer horizon, resembling news-driven transitory mispricing. (3) The mispricing is greater when deal and firm characteristics exacerbate the limits of arbitrage, and it weakens over time. (4) Transactions by higher idiosyncratic volatility acquirers are more likely to fail.

Limits of arbitrage theory have been tested mostly in information-free circumstances. The findings in this paper extend the supporting evidence for limits of arbitrage explaining mispricing beyond the boundaries of information-free circumstances.

This paper aims to highlight firms' profitability as an alternative channel by which changes in leverage could affect stock returns in an imperfect market setting. The author also analytically argues that the benefits of debt, if any, may accrue beyond the usual tax benefit channel.

The author used multivariate regression models based on firms' characteristics and the models' changes along with a two-stage least-square (2SLS) type procedure to estimate the impact of leverage changes on stock returns. The author controls for the varying arbitrage risk that is measured by forecasted idiosyncratic volatility of stock prices and overcome simultaneous or endogenous determination by using inter-temporal non-synchronous variation in leverage and control variables.

The author finds that increase in leverage increase (decrease) stock returns for firms with the gross operating profitability higher (lower) than the cost of debt. The author also finds that the variation in arbitrage risk does not substitute for the primary effect of leverage changes on stock returns.

The author's findings provide tacit support to the recent literature attempting to resolve the empirically puzzling pattern of the negative relationship between profitability and leverage. The findings suggest inclusion of profitability as a crucial asset-pricing factor in the contemporary empirical models.

The non-trivial role of profitability in determining the effect of leverage on firms' stock returns that may be useful to managers, credit analysts and policy makers to assess the impact of net profitability on any change in leverage and its ensuing consequences on firms' value.

The paper develops analytical insights into the marginal role of profitability in influencing the relationship between firms' financing decisions and firms' stock returns beyond the conventional mechanisms of tax benefits, bankruptcy costs and information asymmetry.

In this study, we investigate what drives the MAX effect in the South Korean stock market. We find that the MAX effect is significant only for overpriced stocks categorized by the composite mispricing index. Our results suggest that investors' demand for the lottery and the arbitrage risk effect of MAX may overlap and negate each other. Furthermore, MAX itself has independent information apart from idiosyncratic volatility (IVOL), which assures that the high positive correlation between IVOL and MAX does not directly cause our empirical findings. Finally, by analyzing the direct trading behavior of investors, our results suggest that investors' buying pressure for lottery-like stocks is concentrated among overpriced stocks.

This article aims to ascertain the extent to which probabilistic decision making can enable managers to make crucial decisions in a world of uncertainty associated with globalization. Existing evidence suggests that probabilistic decision making can be deployed for risk management purposes if two conditions are satisfied: the decision maker must be aware of a complete list of possible future events; and the decision maker must be able to revise his/her expectations in the light of new information about such events. This article demonstrates that the satisfaction of these conditions requires a sound understanding of the sources of risks, quantifying those risks, and assessing the probability associated with each. To ensure that these conditions are satisfied, a risk management strategy must aim to maximize the amount of information that will be available at the time of taking the decision rather than wait to learn from outcomes. Outcomes‐based justification of decisions may no longer be an effective decision‐making strategy because the stakes involved, i.e. the risks and opportunities associated with globalization, are too high. An information‐driven, proactive decision‐making strategy requires higher levels of information pooling and exchange within companies.

This study examines the effect of stock liquidity on the magnitude of the accrual anomaly.

This paper examines the relation—both time-series and cross-sectional—between stock liquidity and the magnitude of the accrual anomaly and use the 2001 minimum tick size decimalization as a quasi-experiment to establish causality.

There is both cross-sectional and time-series evidence that stock liquidity is negatively related to the magnitude of the accrual anomaly. Moreover, the extent to which investors overestimate the persistence of accruals decreases with stock liquidity. Results from a difference-in-differences analysis conducted using the 2001 minimum tick size decimalization as a quasi-experiment suggest that the effect of stock liquidity on the accrual anomaly is causal. The findings of this study are consistent with the enhancing effect of stock liquidity on pricing efficiency.

The study's findings are well aligned with the mispricing-based explanation for the accrual anomaly, suggesting that the improvement in market-wide stock liquidity drives the contemporaneous decline in the magnitude of the accrual anomaly, at least to a great extent.

The governance of capital market institutions did not receive much interest compared to their banking sector counterparts, partly due to their different ownership structures. Recent trends; increased competition, technological advances, structural changes, globalization, all had their share of impact on governance systems of capital markets institutions particularly on exchanges. Corporate governance of non-financial firms and capital markets institutions differ in several ways. Firstly the role of risk management differs since they may impose systemic risks to the financial system. Secondly well-implemented governance structures and processes are required but are not sufficient in capital markets since there are several conflicts of interests to be addressed. Therefore whether and how effectively they function is what matters. Thirdly the governance structures of such institutions exhibit different effectiveness on their decisions.The governance of FIs in capital markets is discussed in terms of board structure and management, risk governance, supervisors, shareholders, executive compensation, role of regulators, authorities and values and culture. The role of stock exchanges in corporate governance are discussed separately in terms of implementing corporate governance codes, demutualisation and its impact on regulations, transparency and accountability issues and the effects of M&As among exchanges. Market needs strong analytical tools and reliable benchmarks to assess governance risk. The corporate control and the regulation of the institutions by the exchanges when the corporations (regulated) are the competitors of the exchanges (regulators) or owned by the stockholders of the exchanges must be addressed. The risk of regulatory arbitrage, calls for the need of harmonisation among regulators. Better regulation of FIs and greater global coordination among regulators are seen as the most two important issues to prevent another crisis.