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The authors consider a variety of cryptocurrency and equity risk factors as potential forces that drive cryptocurrency returns and carry risk premiums. In a cross-section of 2,000 biggest cryptocurrencies during 2014–2020, only downside market risk, cryptocurrency size and cryptocurrency policy uncertainty factors are systematically priced with significant premiums. Cryptocurrencies, which have greater exposures to these factors, yield higher returns subsequently. Equity market risk, particularly equity downside market risk, appears to be more important than cryptocurrency market risk, suggesting greater linkages between cryptocurrency and equity markets than we used to think. Global and the US equity factors are more relevant for the cryptocurrency market than local factors from other markets. However, there is no evidence that exposure to momentum, volatility and Fama–French factors is compensated by higher returns.

Purpose – This chapter reports on a rapidly growing trend in the analysis of data about emerging market (EM) economies – the use of baseline models as comparisons for explanatory models. Baseline models estimate expected values for the dependent variable in the absence of a hypothesized causal effect but set higher standards than do traditional null hypotheses tests that expect no effect.

Design/methodology/approach – Although the use of baseline models research originated in the 1960s, it has not been widely discussed, or even acknowledged, in the EM literature. We surveyed published EM studies to determine trends in the use of baseline models.

Findings – We categorize and describe the different types of baseline models that scholars have used in EM studies, and draw inferences about the differences between more effective and less effective uses of baseline models.

Value – We believe that comparisons with baseline models offer distinct methodological advantages for the iterative development of better explanatory models and a deeper understanding of empirical phenomena.

Previous studies have shown that stock returns bear a premium for downside risk versus upside potential. We develop a new risk measure which scales the traditional CAPM beta by the ratio of the upside beta to the downside beta, thereby incorporating the effects of both upside potential and downside risk. This “modified” beta has substantial explanatory power in standard asset pricing tests, outperforming existing measures, and it is robust to various alternative modeling and estimation techniques.

This paper categorizes and critiques the empirical research strategies that have been employed to test real options theory. Existing research has sought to detect valuable options in firms’ strategic investments as well as to investigate the payoffs from these investments. Our review highlights some of the evidence that has accumulated in recent years for real options theory. We flag some of the most important challenges and tradeoffs associated with the use of different empirical research approaches for testing real options theory in strategic management. The paper concludes by offering a number of research priorities to advance the theory by probing its descriptive validity as well as by addressing its normative aspirations to bridge corporate finance and strategy.

Today, long-term success requires firms to sense changes in their environments early and react efficiently to them. Increasing middle managers’ participation in decision-making about market-related and product-related questions has been suggested as one way of enhancing this strategic responsiveness; abandoning formal planning, such as annual budgets, has been another. Yet, empirical evidence on the matter is scarce and conflicting. Drawing on data from Denmark’s 500 largest firms, we show that participation of middle managers in decision-making about new products and markets to serve, in-deed, increases firms’ strategic responsiveness as assessed by a reduction in firms’ downside risk. However, this effect is not a direct one. Nor does it interact positively or negatively with the emphasis put on formal planning as submitted in literature. Our evidence suggests that emphasis on planning mediates the relation between stronger participation of middle managers in decision-making and the increase in firms’ strategic responsiveness. This has implications for ongoing theory building and practice.

In the build-up of an investment decision, the existence of both active and passive investment vehicles triggers a puzzle for investors. Indeed the confrontation between active and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a bone of contention since the inception of these investment structures. Accordingly, the objective of this chapter is to distinctly underscore whether an investor should be concerned in choosing between active and diverse passive investment structures.

The survivorship bias-free dataset consists of 776 equity funds which are domiciled either in America or Europe, and are likewise exposed to the equity markets of the same regions. In addition to geographical segmentation, equity funds are also categorised by structure and management type, specifically actively managed mutual funds, index mutual funds and passive exchange traded funds (‘ETFs’). This classification leads to the analysis of monthly net asset values (‘NAV’) of 12 distinct equally weighted portfolios, with a time horizon ranging from January 2004 to December 2014. Accordingly, the risk-adjusted performance of the equally weighted equity funds’ portfolios is examined by the application of mainstream single-factor and multi-factor asset pricing models namely Capital Asset Pricing Model (Fama, 1968; Fama & Macbeth, 1973; Lintner, 1965; Mossin, 1966; Sharpe, 1964; Treynor, 1961), Fama French Three-Factor (1993) and Carhart Four-Factor (1997).

Solely examination of monthly NAVs for a 10-year horizon suggests that active management is equivalent to index replication in terms of risk-adjusted returns. This prompts investors to be neutral gross of fees, yet when considering all transaction costs it is a distinct story. The relatively heftier fees charged by active management, predominantly initial fees, appear to revoke any outperformance in excess of the market portfolio, ensuing in a Fool’s Errand Hypothesis. Moreover, both active and index mutual funds’ performance may indeed be lower if financial advisors or distributors of equity funds charge additional fees over and above the fund houses’ expense ratios, putting the latter investment vehicles at a significant handicap vis-à-vis passive low-cost ETFs. This chapter urges investors to concentrate on expense ratios and other transaction costs rather than solely past returns, by accessing the cheapest available vehicle for each investment objective. Put simply, the general investor should retreat from portfolio management and instead access the market portfolio using low-cost index replication structures via an execution-only approach.

The battle among actively managed and index replication equity funds in terms of risk-adjusted performance and alpha generation has been a grey area since the inception of mutual funds. The interest in the subject constantly lightens up as fresh instruments infiltrate financial markets. Indeed the mutual fund puzzle (Gruber, 1996) together with the enhanced growth of ETFs has again rejuvenated the active versus passive debate, making it worth a detailed analysis especially for the benefit of investors who confront a dilemma in choosing between the two management styles.

In this paper we investigate the empirical performance of an alternative beta risk estimator, which is designed to be superior to its conventional counterparts in situations of extreme thin trading. The estimator used is based on the sample selectivity model. The study compares the resultant selectivity-corrected beta to the OLS beta and Dimson Betas. We demonstrate the empirical behaviour of the selectivity corrected beta estimator using a sample of stocks in seven countries from Latin America. The results indicate that the selectivity-corrected beta does correct the downward bias of the OLS estimates and is likely to better estimate stock risk.

This study develops an environment, social, and governance (ESG) momentum strategy by combining information about ESG scores and the momentum effect. This study, subsequently, applies the ESG momentum strategy to Taiwanese and Japanese stock markets and investigates the performance of the ESG momentum strategy in each market. Detailed comparisons of the ESG scores and ESG momentum performance between the two markets are conducted. The empirical results show that the ESG momentum strategy can obtain enhanced profits in the Taiwanese market, while the ESG momentum strategy cannot lead to substantial profits in the Japanese market. In addition, the ESG momentum effect in the Taiwanese market can last for three years after portfolio formation. In the Japanese market, the ESG contrarian strategy may deliver better profits than the ESG momentum strategy.