Taming polysemous signals: The role of marketing intensity on the relationship between financial leverage and firm performance

This study traces the degree of integration and volatility spillover effect between the Pakistani and leading foreign stock markets by analyzing the Meteor shower hypothesis. Daily data are used from nine worldly equity markets (KSE 100, NIKKEI 225, HIS, S&P 500, NASDAQ 100, DOW JONES, GADXI, FTSE 350 and DFMGI) for the period of 2005 to 2014. First, we used the whole data set and after that we split data set into two subsets, First subset of data contains the era of global financial crisis of 2008 from 2005 to 2009 and Second subset is after global financial crisis time period from 2010 to 2014 (The global crisis prevailed till end of 2009). By following the Hamao et al. (1990) technique the univariate GARCH type models are employed to explore the dynamic linkages between Pakistani and leading foreign stock markets. The results from whole data set illustrate that there is mixed co‐movements between leading foreign stock markets and Pakistani stock market. The results from both subsets provide an evidence that there is a unidirectional mean and volatility spillover effect from S&P 500, NASDAQ 100, DJI and DFMGI to KSE 100. Also we found bidirectional spillover effect between DFMGI and KSE 100 from both subsets of data. We concluded that there is only one indirect linkage through which may the information transmitted to KSE 100. This linkage is developed due to the co‐movement among KSE 100, DFMGI and NASDAQ 100 in crisis period. This integration between these markets may provide a sign of indirect linkage. It also exhibits the volatility in Pakistan stock market returns is instigated through direct effects as well as indirect effects. Our study brings important conclusions for financial institutions, portfolio managers, market players and academician to diagnose the nature and level of linkages between the financial markets.     

PRIVATE BENEFITS: OWNERSHIP VERSUS CONTROL

We empirically decompose private benefits into benefits accruing from ownership and benefits accruing from control. We document that private benefits increase slowly with respect to the ownership level but increase rapidly with respect to the blockholder's likelihood of exercising control. The decomposition of private benefits allows us to quantify the magnitude of nonpecuniary private benefits by examining the block premium when the blockholder's likelihood of exercising control is close to zero. We find that the size of nonpecuniary private benefits ranges from 0.61% to 5.92% of the share price, or 18% to 29% of the total private benefits.     

Are founder CEOs more overconfident than professional CEOs? Evidence from S&P 1500 companies

Research summary : We provide evidence that founder chief executive officers (CEOs) of large S&P 1500 companies are more overconfident than their nonfounder counterparts (“professional CEOs”). We measure overconfidence via tone of CEO tweets, tone of CEO statements during earnings conference calls, management earnings forecasts, and CEO option‐exercise behavior. Compared with professional CEOs, founder CEOs use more optimistic language on Twitter and during earnings conference calls. In addition, founder CEOs are more likely to issue earnings forecasts that are too high; they are also more likely to perceive their firms to be undervalued, as implied by their option‐exercise behavior. We provide evidence that, to date, investors appear unaware of this “overconfidence bias” among founders. Managerial summary : This article helps to explain why firms managed by founder chief executive officers (CEOs) behave differently from those managed by professional CEOs. We study a sample of S&P 1500 firms and find strong evidence that founder CEOs are more overconfident than professional CEOs. To date, investors appear unaware of this overconfidence bias among founders. Our study should help firm stakeholders, including investors, employees, suppliers, and customers, put the statements and actions of founder CEOs in perspective. Our study should also help members of corporate boards make more informed decisions about whether to retain (or bring back) founder CEOs or hire professional CEOs. Copyright © 2016 John Wiley & Sons, Ltd.     

Integrating fuzzy-set theory into technology roadmap development to support decision-making

Technology roadmap has long been regarded as a useful tool for linking business to technologies. Accordingly, establishing the relationships between market, product and technology elements is an essential part of successful technology roadmap development. Despite the significance as of analysing such relationships, however, few previous attempts have been made to address this issue. To overcome the limitations of previous studies, therefore, this study focused on the relationships between the diverse roadmap layers and aimed to develop a decision-support tool to investigate these relationships. To this end, fuzzy inference was applied to determine the relative importance of link between the roadmap elements, considering the degree of significance as well as the degree of relationship between the two. This study is expected to contribute to the existing roadmap literature by emphasising the value of relationship analysis, and can also be useful in practice by improving the quality of information on technology roadmap.     

Effects of financial education on sound personal finance in Korea: Conceptualization of mediation effects of financial literacy across income classes

This study analyzed the role of financial literacy as a mediator between financial education and sound personal finance to assess how financial education affects the soundness of personal finance. In particular, this study conducted three sets of mediation analyses using data from the 2014 Consumer Empowerment Index survey of the Korea Consumer Agency to verify whether the mediating relationship is valid across different income classes of the Korean population. The results suggest that financial literacy works as a mediator between financial education and sound personal finance in the high‐income class and the middle‐income classes. Therefore, policymakers should consider the limitations of financial education and financial literacy when addressing low‐income consumers.     

Leveraging open innovation to improve society: past achievements and future trajectories

Open innovation (OI) is an approach which describes a purposive attempt to draw together knowledge from different contributors to develop and exploit innovation. It has become clear that OI directly benefits organisations' economic performance and resilience, but researchers, practitioners, and policy makers became also convinced that OI might be the way forward to tackle the world’s most pressing societal challenges, representing unresolved Grand Challenges, which can only be weathered by diverse sets of collaborative partners that join forces. Although anecdotal evidence points at how OI practices can be employed to achieve societal impact not only in private firms but also in public organisations, very little understanding exists ‐beyond anecdotal‐ to link OI to societal impact. This special issue has the ambition to start the discussion and establish a framework as the stepping stone to tackle this complex research gap.     

Agency Costs and the Short‐Run Stock Price Response to Capital Expenditures

We estimate the short‐run stock price response to unanticipated capital expenditures. We use association study methodology to avoid the self‐selection bias in event studies and to facilitate construction of a large sample of firm‐years likely to exhibit agency problems. We find that the average price response to routine capital expenditures is negative, and that commonly used agency cost measures explain fully the negative response. Subsample results support the conclusion that the market is skeptical of cash flow financed spending by low‐q firms and even capital spending by high‐q firms when the firm is large and q is only marginally high.     

Extracting a common stochastic trend: Theory with some applications

This paper investigates the statistical properties of estimators of the parameters and unobserved series for state space models with integrated time series. In particular, we derive the full asymptotic results for maximum likelihood estimation using the Kalman filter for a prototypical class of such models—those with a single latent common stochastic trend. Indeed, we establish the consistency and asymptotic mixed normality of the maximum likelihood estimator and show that the conventional method of inference is valid for this class of models. The models we explicitly consider comprise a special–yet useful–class of models that may be employed to extract the common stochastic trend from multiple integrated time series. Such models can be very useful to obtain indices that represent fluctuations of various markets or common latent factors that affect a set of economic and financial variables simultaneously. Moreover, our derivation of the asymptotics of this class makes it clear that the asymptotic Gaussianity and the validity of the conventional inference for the maximum likelihood procedure extends to a larger class of more general state space models involving integrated time series. Finally, we demonstrate the utility of this class of models extracting a common stochastic trend from three sets of time series involving short- and long-term interest rates, stock return volatility and trading volume, and Dow Jones stock prices.