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The authors found that, concurrent with the rapidly growing index investment in commodity markets since the early 2000s, prices of non-energy commodity futures in the United States have become increasingly correlated with oil prices; this trend has been significantly more pronounced for commodities in two popular commodity indices. This finding refiects the financialization of the commodity markets and helps explain the large increase in the price volatility of non-energy commodities around 2008.

This study aims to investigate the pattern and level of environmental, social and governance (ESG) performance of listed companies in the alternative capital market of Thailand, and (2) to test for the relationship between ESG performance and corporate financial risk. The population and sample data are comprised of all the listed companies in the alternative capital market in Thailand, namely, the Market for Alternative Investment (MAI). Content analysis by scoring is used to quantify ESG performance in annual reports during the period 2017-2021, while corporate financial risk is measured by the ratio of debt on equity. Descriptive analysis, correlation matrix, and multiple regression are used to analyze the data of this study. The average scores of ESG performance are 6.182 out of 11 scores. In addition, there is an increase of ESG performance in annual reports of the listed companies from 5.540 to 7.180 scores during the period being studied. Finally, the result finds a negative relationship between ESG performance and corporate financial risk. The signaling theory demonstrates an explanation proposing that the increase of ESG performance can reduce corporate financial risk. Therefore, top-management and shareholders should pay attention to ESG responsibility because it can decrease risk as well as enhance sustainable development.

Hedge funds' extensive use of derivatives, short selling, and leverage and their dynamic trading strategies create significant nonnormalities in their return distributions. Hence, the traditional performance measures fail to provide an accurate characterization of the relative strength of hedge fund portfolios. This paper uses the utility-based nonparametric and parametric performance measures to determine which hedge fund strategies outperform the U.S. equity and/or bond markets. The results from the realized and simulated return distributions indicate that the long/short equity hedge and emerging markets hedge fund strategies outperform the U.S. equity market, and the long/short equity hedge, multistrategy, managed futures, and global macro hedge fund strategies dominate the U.S. Treasury market.

Hedge funds' extensive use of derivatives, short selling, and leverage and their dynamic trading strategies create significant nonnormalities in their return distributions. Hence, the traditional performance measures fail to provide an accurate characterization of the relative strength of hedge fund portfolios. This paper uses the utility-based nonparametric and parametric performance measures to determine which hedge fund strategies outperform the U.S. equity and/or bond markets. The results from the realized and simulated return distributions indicate that the long/short equity hedge and emerging markets hedge fund strategies outperform the U.S. equity market, and the long/short equity hedge, multistrategy, managed futures, and global macro hedge fund strategies dominate the U.S. Treasury market.

Purpose – The purpose of this paper is to report the results of an investigation of the relationship between working capital level, measured by the cash conversion cycle (CCC) and profitability of small and medium enterprises (SMEs). Design/methodology/approach – The paper employs panel data regression analysis on a sample of 160 Alternative Investment Market (AIM)-listed SMEs for the period from 2005 to 2010. Findings – The empirical results show that there is a concave relationship between working capital level and firm profitability and that there is an optimal working capital level at which firms’ profitability is maximised. Furthermore, an examination as to whether or not deviations from the optimal working capital level reduce firm profitability indicate that deviations above or below the optimum decrease profitability. Research limitations/implications – The sample is limited to AIM-listed SMEs, and therefore the findings cannot be generalised to all firms. Practical implications – Overall, the evidence suggests that firms should strive and attain the optimal working capital level in order to maximise their profitability. Originality/value – The results are of importance to both SMEs and policy makers providing insight into the nature of CCC and its relationship to SMEs profitability.

Crypto currencies are a new appearance at the intersection between technology and finance. Since finance, and asset management in particular, are relatively entrenched regarding asset classes, it is of particular interest, which impact a new asset class would cause on existing asset allocation models. This work is intended to explore the effect an allocation of crypto currencies would have on traditional investment portfolios. Due to the current low-interest rate environment, combined with the recent COVID-19 pandemic, investors are keen to explore new or alternative investment opportunities. At the same time, crypto currencies are attracting growing attention and are perceived not only as a currency but also as an asset class. Therefore, exploring if an allocation of crypto currencies could provide advantages to interested investors and show a new perspective on traditional asset allocation models.

Institutional investors increasingly value alternative assets in strategic asset allocation, with private debt emerging as a key asset class. However, its shortage of market history has hindered the development of standardized proxy benchmarks. For that, many institutional investors still do not recognize or manage private debt as a distinct asset class. Thus, this study aims to develop an optimized benchmark that reflects the unique characteristics of private debt, thereby contributing to establishing private debt as an independent investment asset class for strategic asset allocation among institutional investors. This study seeks to address this gap by constructing a proxy benchmark for the Preqin private debt index, which, despite its comprehensive market coverage, has a three-month reporting delay. This study employs quarterly performance data for private debt indices, spanning 31 December 2006 to 31 March 2023, and is sourced from Bloomberg and the index providers’ websites. Using regression analyses with timely asset-based indexes, the research develops a multivariate model that integrates multiple indexes, demonstrating superior tracking performance compared to existing methods. The findings provide a practical framework for improving the recognition, management, and allocation of private debt in institutional portfolios, addressing the need for reliable and timely performance metrics in this growing asset class.

We analyze the determinants of buyout funds' investment decisions. We argue that when there is imperfect competition for private equity funds, the timing of funds' investment decisions, their risktaking behavior, and their subsequent returns depend on changes in the demand for private equity, conditions in the credit market, and fund managers' ability to influence perceptions of their talent. We investigate these hypotheses using a proprietary dataset of 207 U.S. buyout funds that invested in 1,957 buyout targets over a 30-year period. Our dataset contains precisely dated cash inflows and outflows in every portfolio company, links every buyout target to an identifiable buyout fund, and is free from reporting and survivor biases. Thus, we are able to characterize every buyout fund's precise investment choices. Our findings are as follows. First, established funds accelerate their investment flows and earn higher returns when investment opportunities improve, competition for deal flow eases, and credit market conditions loosen. Second, the investment behavior of first-time funds is less sensitive to market conditions. Third, younger funds invest in riskier buyouts, in an effort to establish a track record. Finally, following periods of good performance, funds become more conservative, and this effect is stronger for first-time funds.

PurposeThis study aims to investigate the extent, level and pattern of key audit matters (KAMs) reporting by companies listed in the market for alternative investment (MAI) in Thailand, and to test for a relationship between the external auditors and KAMs reporting.Design/methodology/approachThe population and sample used in this study were all companies listed in the MAI. Based on the annual reports issued by the sample of companies from 2016 to 2018, content analysis was used to quantify the KAMs reporting in the audit reports by using word counting and a checklist. Descriptive analysis, correlation matrix and multiple regression were used to analyse the data.FindingsThe results showed that the word counts of KAMs reporting fluctuated around 600 words during the three year period studied, while the number of issues on which KAMs reporting was performed was similar each year with an average of 1.63 KAMs issues per company. Moreover, the study found a significant positive relationship between auditor type, audit fees and the level of KAMs reporting.Practical implicationsThis is the first longitudinal study of the KAMs reporting of companies listed in the alternative capital market in Thailand.Originality/valueCommunication and legitimacy theories were found to offer cogent explanations explaining the quality of and reasons for KAMs reporting by Thai listed companies as a reaction to the need for quality communication between external auditors and company stakeholders, based on external pressure due to societal expectations.