Fashion and the metaverse: Clarifying the domain and establishing a research agenda

In recent years, the metaverse has garnered significant attention as a term referring to a network of 3D virtual worlds that integrate elements of both physical and digital worlds. Fashion brands have begun exploring the metaverse as a new marketing platform, which is expected to bring about substantial changes in the fashion and retail industry. However, a lack of consensus on the nature of the metaverse and its impact on the fashion industry currently exists, and limited academic research is available on the metaverse's influence on fashion brands' marketing strategies and brand experiences. To address this gap, this study employs a thematic analysis approach on trade journals and industry articles that cover fashion brands' metaverse strategies. Through this analysis, the study provides a typology of current marketing strategies of fashion brands in the metaverse. Based on these empirical findings, this research proposes a theoretical framework that explains how different metaverse strategies affect different dimensions of brand equity. Finally, this study offers research directions for fashion brands' metaverse strategies by presenting an integrated framework that synthesizes the key insights from our research findings.     

How Do Entry Motives and Institutions Influence the Acquisition Strategies of Multinationals in Foreign Markets? Lessons from Acquisitions of Finnish Multinationals in Global Markets

When acquiring foreign targets, multinationals have an option for partial acquisition, staged acquisition, and full acquisition. This study seeks to understand how the motives of market entry and institutions influence these acquisition strategies in foreign markets. By integrating OLI paradigm and institutional theory with an empirical case study of seven acquisitions of Finnish multinationals in global markets, the study finds that the motives of market entry (i.e., market-seeking, efficiency-seeking, strategic-asset-seeking motives) interact with host country institutions in influencing the choice of partial, staged, and full acquisitions. The study also develops six propositions and recommends areas for future research.     

Private equity characteristics and performance: An analysis of North American venture capital and buyout funds

The paper investigates the relationship between fund performance and fund characteristics of North American private equity (PE) funds, by analyzing the interactions of fund size, fund sequence, and past fund performance on traditional fund return measures. The empirical evidence is based on both linear and polynomial regressions, on a sample of 345 venture capital (VC) and 411 buyout (BO) funds with vintage year over the period 1995–2010. We document a concave relationship between fund size and performance, persistence in PE performance, as well as a convex relationship between fund sequence and performance. We suggest both the optimal fund size and the optimal fund sequence number. Economic implications for investors and general partners are discussed as well.     

Do hedge funds time market tail risk? Evidence from option-implied tail risk

This paper focuses on an unexplored dimension of fund managers’ timing ability: Market-wide tail risk implied by information in options markets. Constructing the option-implied tail risk, we investigate whether hedge fund managers can strategically time the tail risk through adjusting their exposure to changes of it. Using an extensive sample of equity-oriented hedge funds, we find strong evidence of tail risk timing ability of hedge fund managers. Furthermore, tail risk timing ability brings significant economic value to investors. Top-ranked funds outperform bottom-ranked funds by 5–7% annually after adjusting for risk factors. Our results are robust to various robustness checks.     

Telling and selling the value of diversity and inclusion—External consultants' discursive strategies and practices

On the basis of a qualitative study of a subgroup of diversity professionals, external diversity and inclusion (D&I) consultants, we explore D&I consultants' discursive strategies and practices situated within organisational structures, relations, and interactions of power and knowledge. Theoretically, the research reveals how D&I consultants' own discursive strategies interact with existing organisational and societal discourses of diversity, incrementally shaping their continual evolution. A classification is developed, which sets out four approaches taken by consultants with regard to their discursive strategies in relation to clients. The findings suggest that HR practitioners need to work in tandem with external consultants to develop strategies to improve the status and legitimacy of diversity work if the field is to progress the organisational D&I agenda.     

How much does tax erode fund excess returns?

We model the tax drag from active fund management based on reported monthly holdings of active equity funds. Tax drag erodes 65 percent of the 0.74 percent excess return in Broad Market funds, but only 21 percent of the 1.80 percent excess return in Small-Cap funds for Australian superannuation (pension) fund investors. Tax drag varies with investment style; market state, which is most detrimental during bull markets; and fund turnover. For high-income individual investors, tax drag is exacerbated to the extent that active management only generates meaningful after-tax excess return for Small-Cap funds of certain styles.     

Structural holes and hedge fund return comovement: evidence from network-connected stock hedge funds in China

Using data from a new hedge fund database, we examine the impact of social networks on the return comovement of stock hedge funds in China. We use structural holes in the college alumni networks of managers to measure the managers’ social network positions. We perform an empirical analysis on a sample of 3,012 hedge fund products in China from 2010 to 2017. We find that greater structural holes are associated with higher return comovement. The positive impact of the structural holes on return comovement is not affected by market cycles, a manager's major in college, or his or her abilities.     

High frequency momentum trading with cryptocurrencies

Over the past few years, cryptocurrencies have increasingly been discussed as alternatives to traditional fiat currencies. These digital currencies have garnered significant interest from investment banks and portfolio managers as a potential option to diversify the financial risk from investing in other assets. This interest has also extended to the general public who have seen cryptocurrencies as a way of making a quick profit. This paper provides a first insight into the applicability of high frequency momentum trading strategies for cryptocurrencies. We implemented two variations of a signal-based momentum trading strategy: (i) a time series method; (ii) a cross sectional method. These strategies were tested on a selection of seven of the largest cryptocurrencies ranked by market capitalization. The results show that there exists potential for the momentum strategy to be used successfully for cryptocurrency trading in a high frequency setting. A comparison with a passive portfolio strategy is proposed, which shows abnormal returns when compared with the momentum strategies. Furthermore, the robustness of our results are checked through the application of the momentum strategies other sample periods. We also compare the performances of the signal-based momentum strategies with returns-based versions of the strategies. It is shown that the signal-based strategy outperforms the returns-based strategy. However, there appears to be no single parameterization of the signal-based strategies that can generate the greatest cumulative return over all sample periods.     

Jensen's alpha and the market‐timing puzzle

Theory predicts that market‐timing activities bias Jensen's alpha (JA). However, empirical studies have failed to find consistent evidence of this bias. We tackle this puzzle in a nested model analysis and show that the bias contains an exogenous market component that is unrelated to market‐timing skill. In a comprehensive empirical analysis of US mutual funds, we find that the timing‐induced bias in JA is mainly driven by this market component, which is uncorrelated with measured timing activities. Measures of total performance that allow for timing activities are virtually identical to JA, even if timing activities are present in the evaluated fund. Hence, we conclude that JA is a sufficient measure of total performance.     

Motives behind retailers’ post-entry expansion - Evidence from the Chinese luxury fashion market

This study aims to examine the motives behind retailers’ post-entry expansion in foreign markets. Through case studies of eleven participating luxury fashion retailers in China, qualitative data was collected from twenty-two executive interviews. Although their initial market entry was driven by both reactive (push) and proactive (pull) factors, the motives behind their post-entry expansion have become predominantly proactive, especially long-term growth strategies, the ambition to extend their brands and retail formats to more cities, and the experiences gained in entry markets. The desire to optimize the retail store portfolio through multiple channel strategies have slowed down the expansions of physical stores.