Timing the factor zoo via deep learning: Evidence from China

This paper proposes a factor timing strategy with information from 146 characteristic-based factors and a deep learning approach to capture the nonlinear predictability. The deep learning-based factor timing strategy generates the highest economic value compared with the unconditional and alternative linear machine learning-based portfolios and remains robust after controlling for traditional factor models and transaction costs. With the unique market structure of the Chinese stock market, we find that mispricing-based theory helps explain the factor timing via deep learning.     

Shopping mall retailing: A bibliometric analysis and systematic assessment of Chebat's contributions

Shopping malls are unique retail environments offering individual consumption experiences within a holistic retail ecosystem. Drawing on a bibliometric analysis and a systematic review of 31 articles, this research synthetizes Jean-Charles Chebat's contributions to the shopping mall literature. Findings highlight four core clusters of the shopping mall literature, namely spatial wayfinding, atmospherics, consumer differences across shopping mall experiences, and shopping mall consequences. The newly developed Shopping Mall Experience Framework extends Chebat's research proposing additional elements of interest for current mall retailing research. Managerial implications offer practical guidance on successfully designing and maneuvering shopping malls of the future.     

Systemic risk measures and regulatory challenges

This paper discusses different definitions of systemic risk and identifies the challenges, which regulators face in addressing this phenomenon. We conducted a systematic literature review of 4859 abstracts to categorize the various methodologies developed to measure systemic risk. In total, 60 systemic risk measures proposed post-2000 have been critically appraised to inform academics and regulators of their practical applications and model vulnerabilities. This review suggests that most of these methods focus on individual financial institutions rather than on system stability. Those methodologies directly reflect the current regulations, which aim to ensure individual institutions’ soundness. As macro-prudential regulation evolves, policy-makers face the issues of understanding contagion and how regulations should be implemented. This paper also discusses new systemic risk and regulatory challenges resulting from the current COVID-19 pandemic.     

Are covered bonds different from securitization bonds? A comparative analysis of credit spreads

This study compares credit spreads and pricing determinants of securitization vis-à-vis covered bonds. Our analysis reveals that although ratings are the most important pricing determinant for asset-backed securities (ABS) and mortgage-backed securities (MBS) investors place relatively more importance on contractual, macroeconomic and banks' characteristics rather than ratings in pricing covered bonds. We find evidence of a mispricing effect in structured finance markets: ABS and MBS have higher credit spreads than similarly rated public-covered bonds and mortgage-covered bonds and security prices reflect information beyond credit ratings. We find no evidence of borrowing costs affecting banks' choice between securitization and covered bonds.     

Wage gap and stock returns: Do investors dislike pay inequality?

Recent research shows that a high wage-gap between managers and workers identifies better-performing firms, but the stock market does not seem to price this information. In this paper, we show that not all investors neglect pay inequality. Using a unique data set on German firms’ employee compensation, we find that the mispricing of the wage gap is driven by limits to arbitrage. Specifically, some investors seem to bid up low-wage-gap stocks for non-monetary reasons, thus exhibiting a preference for low pay-inequality. The results suggest that firms with equitable pay schemes are rewarded with a lower cost of capital.     

A bibliometric review of dividend policy literature

This study systematically reviews the dividend policy literature, combining quantitative and qualitative techniques. We screened a sample of 270 articles retrieved from the Scopus database from 1981 to 2022. We contribute to the literature by identifying six research streams based on bibliometric co-citation analysis: (1) Dividend payment practices, (2) Price–dividend relationship, (3) Capital market valuation, and dividend policy, (4) Risk governance and dividend policy, (5) Taxes and dividend policy, and (6) The dividend disconnects and catering incentives. For each of these streams, the central research theme is outlined, allowing us to recommend potential directions for further investigation. We provide influential journals, authors, topics, articles, and institutions from our analyses. We also contribute 77 research questions that can be explored in future research to develop the field of dividend policy. Our findings should be of value to academics, financial executives, policymakers, investors, and other practitioners.     

Cross-industry asset allocation with the spatial interaction on multiple risk transmission channels

Taking into consideration the real link and information risk transmission channels, we used a spatial econometric approach to construct an economic distance-based spatial weight matrix, which can capture the spatial interaction across industries, and built a return estimation model with spatial interaction using the matrix. On this basis, we derived the covariance matrix and constructed the cross-industry asset allocation model. The empirical results showed that 1) the spatial interaction has a strong explanatory power to return and integrating the spatial interaction on multiple risk transmission channels can improve the effectiveness of the return estimation model; 2) the covariance matrix includes unsystematic risk (idiosyncratic risk) and systematic risk (market risk and cross-industry spillover risk); 3) the asset allocation model with spatial interaction can improve the performance of the portfolio and provide a valuable reference for investors' risk management and investment decision.     

Return–volume nexus in financial markets: A survey of research

This paper provides a systematic review of the return–volume literature, broadly defined to include theoretical and empirical research relating to the intramarket and cross-market interlinkages between security return and trading volume characteristics in four financial markets, namely, the stock, bond, foreign exchange, and futures markets. Viewed through this lens, this paper attempts to review previous empirical research within a unified theoretical framework that relates the interlinkages between return and volume characteristics in various financial markets. Overall, this paper marks several interesting areas of debate and controversy based on several controversial theories and empirical findings in the literature, suggesting directions for future research.     

Does reporting quality affect systematic risk? Evidence from a regulatory lottery

On June 1, 1976, the Swedish parliament voted on a legislative bill that, if approved, would have substantially increased the quality of the corporate information disclosed to the public. Since parliament was hung, the outcome of the vote was decided by a lottery. The winning lottery ticket was a “No”, which meant that the bill was rejected. I exploit this lottery as an exogenous event to study if reporting quality affects systematic risk. I find that the rejection of the bill resulted in a negative abnormal return that persisted in the following day. This result suggests that there is a causal relationship between reporting quality and equity prices through its impact on systematic risk.     

Economic uncertainty: Mispricing and ambiguity premium

We uncover two channels of effect in the financial market when investors face macroeconomic uncertainty. Conditional on a common mispricing index, we find that economic uncertainty exposure (EUE) induces disagreement, which amplifies mispricing. The highest EUE quintile produces an annualised mispricing alpha of 9.96%, more than double the unconditional mispricing effect. An ambiguity premium of 3.84% alpha is documented in the “non-mispricing” quintile. The EUE-induced mispricing effect is different from the existing limits of arbitrage explanations. The ambiguity premium is predictably observed during the unfolding of shocks of COVID-19 to the market.