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In this article, we consider the evolution of the US stock market from the 1770s through the early 20th century. Adopting an institutional lens, we conceive of the stock market as an institutional field constituted by socially constructed cultural logics and myths. We focus on the role of the US government as an actor embedded in the stock market field and sharing in the prevailing field logics. Tracking the dominant logics of the stock market field at different historical periods, we examine how these logics impacted government regulatory action upon the stock market, and how those government regulations affected the subsequent logics of the stock market field. Our research included both quantitative content analysis of articles in historical newspapers and qualitative historical analysis of multiple primary and secondary accounts of stock market problems and solutions across more than 150 years. We document how government regulatory action both reflects and shapes the logics of the stock market field.

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

In a world of asymmetric information between managers and investors, the choice of the payment method is a key issue in mergers and acquisitions. Previous literature shows that contingent methods of payment other than stocks (e.g. contingent value rights, earnouts or convertible securities), even if they do not solve the information asymmetry problems, can mitigate their consequences. In this chapter, I examine the motivations and the effects of the inclusion of a contingent payment method the use of which has not been studied yet, the warrant. I show that this consideration is used mainly when information asymmetry problems are severe and that it can be used to solve the information problems.

This chapter introduces empirical studies of firm performance and related risk outcomes conducted in the management and finance fields presenting underlying theoretical rationales as they have evolved over time. Early finance studies of market-based returns predominantly found positively skewed return distributions that conform to assumptions about higher returns associated with more risky investments. Subsequent studies found that performance outcomes measured as accounting-based financial returns generally display left-skewed distributions that reflect negative risk-return relationships. This artifact was first observed by Bowman (1980), thus often referred to as the “Bowman paradox” because it contravened the conventional assumptions in finance. The management studies have largely confirmed the inverse risk-return observations but often following rather confined research streams. A contingency perspective inspired by prospect theory and behavioral rationales have investigated the lagged effects of performance on risk outcomes and vice versa. Another stream has focused on the spurious relationships between negatively skewed performance distributions and the inverse risk-return associations. A third approach considered the performance and risk outcomes as deriving from the firms responding in distinct ways to exogenous changes. These studies reach comparable results but underpinned by very different rationales. The finance studies observe deviations from the pure doctrine of positive risk-return associations embedded in the widely adopted capital asset pricing model (CAPM) and note deficiencies with alternative interpretations that even question the validity of CAPM. A more recent strain of studies in behavioral finance observes how many (even professional) investment managers have biases that lead to inverse relationships between perceived risk and return outcomes. While these diverse fields of study have different starting points, they uncover an increasing number of interesting commonalities that can inspire the ongoing search for explanations to observed left-skewed financial returns and negative risk-return correlations across firms.

The 2008–2009 financial crisis has renewed concerns about managerial short-termism and its negative effects. Based on intertemporal choice theory, this chapter aims to identify the role that performance measurement and compensation systems can play in orienting managers toward building long-term performance potential in addition to achieving short-term results.

The findings suggest that certain types of measures used – in particular broader, more inclusive financial indicators, risk-adjusted measures, and key nonfinancial value drivers – as well as the timing of measurement and payment of rewards can lead to reduced time discounting and a lower devaluation of the future, and consequently to a prioritized managerial attention focus on long-term company goals.

This chapter contributes to a better understanding of the institutional determinants of managerial long-term orientation and the influence of organizational systems on goal prioritization in managerial intertemporal choice processes.

The findings have practical relevance for the design of incentive systems that aim to place an emphasis on ensuring long-term value creation.

Systems that guide managerial behavior toward the long term can help to increase economic and societal sustainability.

Despite the emergence of more integrated performance measurement approaches, time horizon has not been in the main focus of research in the field yet. This review provides a first structured overview of the temporal effects of different elements of performance measurement and compensation systems.

This paper examines the predictive content of financial variables above and beyond past GDP growth in a small open economy in the Eurozone. We aim to clarify potential differences in forecasting economic activity during periods of steady growth and economic turbulence.

The out-of-sample forecasting analysis is conducted recursively for two different time periods: the steady growth period from 2004:1 to 2007:4 and the financial crisis period from 2008:1 to 2011:2.

Our results from Finland suggest that the proper choice of forecasting variables relates to general economic conditions. During steady economic growth, the preferable financial indicator is the short-term interest rate combined with past growth. However, during economic turbulence, the traditional term spread and stock returns are more important in forecasting GDP growth.

The results highlight the importance of long-term interest rates in determining the level of the term spread when the central bank implements a zero interest rate policy. Moreover, during economic turbulence, stock markets are able to signal the expected effects of unconventional monetary policy on GDP growth.

Corporate acquisitions have received less attention than the “make-versus-buy” paradigm problem within transaction cost economics. However, recent research that has been conducted on acquisitions is a valuable source of ideas that can be put to use in organizational governance studies more broadly. In this paper, I provide a brief review of the M&A literature with the aim of developing two arguments. First, information economics has provided important theoretical underpinnings for this literature and complements transaction cost economics by emphasizing the ex ante exchange hazards that economic actors face. Second, research using information economics offers the potential to enrich the organizational economics research agenda in strategic management and vice versa.

Vector error-correction models (VECMs) have become increasingly important in their application to financial markets. Standard full-order VECM models assume non-zero entries in all their coefficient matrices. However, applications of VECM models to financial market data have revealed that zero entries are often a necessary part of efficient modelling. In such cases, the use of full-order VECM models may lead to incorrect inferences. Specifically, if indirect causality or Granger non-causality exists among the variables, the use of over-parameterised full-order VECM models may weaken the power of statistical inference. In this paper, it is argued that the zero–non-zero (ZNZ) patterned VECM is a more straightforward and effective means of testing for both indirect causality and Granger non-causality. For a ZNZ patterned VECM framework for time series of integrated order two, we provide a new algorithm to select cointegrating and loading vectors that can contain zero entries. Two case studies are used to demonstrate the usefulness of the algorithm in tests of purchasing power parity and a three-variable system involving the stock market.

Through a theoretical review of the literature, this chapter assesses the potential of different knowledge organisation systems (KOS) to support corporate knowledge management systems (KMS), namely digital libraries (DL) in companies and other institutions. Questions are framed through which the chapter discusses how classical KOS, such as nomenclatures, classification systems, thesauri and ontologies, are able to reflect explicit knowledge in sense of the Semantic Web and also introduces persons as documents along with folksonomies as a means for externalising implicit knowledge in sense of the Web 2.0.

Purpose: Through globalization, financial markets have become more integrated and their tendency to act together has increased. The majority of the literature states that there is a cointegration between developed and emerging markets. How do positive or negative shocks in developed markets affect emerging markets? And how do positive or negative shocks in emerging markets affect developed markets? For this reason, the aim of the study is to investigate the asymmetric causality relationship between developed and emerging markets with Hatemi-J asymmetric causality test.

Design/methodology/approach: In this study, the Dow Jones Industrial Average (DJIA) index was used to represent developed markets and the Morgan Stanley Capital International (MSCI) Emerging Market Index was used to represent emerging markets. The asymmetric causality relationship between the DJIA Index and the MSCI Emerging Market Index was investigated using monthly data between January 2009 and April 2019. In the first step of the study, the Johansen Cointegration Test was used to determine whether there is a cointegration between the markets. In the next step, the Hatemi-J asymmetric causality test was applied to see the asymmetric causality relationship between the markets.

Findings: There is a weak correlation between developed and emerging markets. This result is important for international investors who want to diversify their portfolios. As a result of the Johansen Cointegration Test, it was found that there is a long-term relationship between the MSCI Emerging Market Index and the DJIA Index. Therefore, investors who make long-term investment plans should not forget that these markets act together and take into account the causal relationship between them. According to the asymmetric causality test results, a unidirectional causality relationship from the MSCI Emerging Market Index to the DJIA Index was determined. This causality shows that negative shocks in the MSCI Emerging Market Index have positive effects on the DJIA Index.

Originality/value: This study contributes to the literature as it is one of the first studies to examine the asymmetrical relationship between developed and emerging markets. This study is also useful in predicting the short- and long-term relationship between markets. In addition, this study helps investors, portfolio managers, company managers, policymakers, etc., to understand the integration of financial markets.