Conditions Ensuring the Decomposition of Asset Demand for All Risk-Averse Investors

Abstract

The paper explores how the demand for a risky asset can be decomposed into an investment effect and a hedging effect by all risk-averse investors. This question has been shown to be complex when considered outside of the mean-variance framework. Dependence among returns on the risky assets is restricted to quadrant dependence and it is found that the demand for one risky asset can be decomposed into an investment component based on the risk premium offered by the asset and a hedging component used against the fluctuations in the return on the other risky asset. The paper also discusses how the class of quadrant-dependent distributions is related to that of two-fund separating distributions. This contribution opens up the search for broader distributional hypotheses suitable to asset demand models. Examples are discussed.     

Small- and medium-sized enterprise internationalization: Towards the knowledge-based model

Firm internationalization research has grown throughout the last 50 years resulting in a number of theories and models. Although each theory and model enables us to see some parts of the picture, a holistic approach is needed to provide us a full picture. The so-called knowledge-based models proposed so far drew upon the transaction cost theory, the social capital theory, and the knowledge management models. This paper reviews previous research and builds a more comprehensive knowledge-based model of small- and medium-sized enterprises internationalization. The model includes “knowledge factors”, which we identified from internationalization literature. These include the market knowledge and the experiential knowledge composed of network knowledge, cultural knowledge, and entrepreneurial knowledge. Acquisition as well as utilization of each kind of knowledge during the different phases of internationalization is presented. The model is a step towards deeper understanding of the role of knowledge in SME internationalization.     

Foreign Direct Investment,Financial Development and Their Impact on the GDP Growth in Low-income Countries

ABSTRACT

This essay empirically studies the effects and causal links between foreign direct investment (FDI), financial development (FD) and economic growth. The sample consists of the main economies of low-income countries and the study covers the period 1990–2015. The results of the estimate show that, under certain specific economic conditions, FDI affects positively the level of long-term economic growth; it thus makes it possible to improve the economic situation of these countries. Using Johansen’s cointegration technique, the results find that FD; FDI and GDP growth are cointegrated, that shows the pursuit of the long-term equilibrium relationship between them. The error correction model confirms the existence of a double causal relationship between FDI and GDP growth, and between FD and FDI and between GDP growth and FD.     

The impact of the dimensions of social performance on firm risk

This paper examines the impact of the individual dimensions of social performance (SP) on firm risk (total and idiosyncratic) using 16,599 firm-year observations over the period 1991–2007. We find that firm risk for S&P500 members is positively affected by Employee, Diversity, and Corporate Governance concerns. On the other hand, Community (Diversity) strengths negatively (positively) affect their risk. As to non-S&P500 members, firm risk is positively affected by Employee concerns and Diversity strengths. However, firm risk of non-S&P500 members is negatively affected by Environment strengths. The direction of causation between firm risk and SP depends on the dimension examined.     

Dynamic portfolio optimization with liquidity cost and market impact: a simulation-and-regression approach

We present a simulation-and-regression method for solving dynamic portfolio optimization problems in the presence of general transaction costs, liquidity costs and market impact. This method extends the classical least squares Monte Carlo algorithm to incorporate switching costs, corresponding to transaction costs and transient liquidity costs, as well as multiple endogenous state variables, namely the portfolio value and the asset prices subject to permanent market impact. To handle endogenous state variables, we adapt a control randomization approach to portfolio optimization problems and further improve the numerical accuracy of this technique for the case of discrete controls. We validate our modified numerical method by solving a realistic cash-and-stock portfolio with a power-law liquidity model. We identify the certainty equivalent losses associated with ignoring liquidity effects, and illustrate how our dynamic optimization method protects the investor's capital under illiquid market conditions. Lastly, we analyze, under different liquidity conditions, the sensitivities of certainty equivalent returns and optimal allocations with respect to trading volume, stock price volatility, initial investment amount, risk aversion level and investment horizon.     

Corporate social responsibility and stock price informativeness: The public interest perspective

In this paper, we propose a new theory that sheds a different light on the potential relationship between Corporate Social Responsibility (CSR) and Stock Price Informativeness (PI). More specifically, we explain why a neutral association between CSR and PI can be an indicator of high economic and social welfare, while a positive association can be an indicator of both markets and governments failure. Under a neutral relationship, we argue that mandatory disclosure is getting firms to disclose near their optimal level. Therefore, any voluntary disclosure beyond the mandatory regime (such as CSR disclosure) should not improve PI. We base our hypothesis on public interest theory that suggests that regulators promote the public interest when a market failure is identified. On the other hand, under a positive association between CSR and PI, we argue that regulators do not offer adequate incentives for firms to disclose at their socially optimal levels because the level of voluntary disclosure by socially responsible firms is optimal in comparison to the level of mandatory disclosure provided by other firms with weak CSR engagement.     

Renewable and non-renewable energy consumption,environmental degradation and economic growth in Tunisia

The aim of this document is to investigate the dynamic relationship between economic growth, renewable energy consumption, energy consumption and CO₂ emissions in Tunisia over the period 1990–2015. Unit root tests and co-integration test was used in order to detect the order of stationary and to test the existence long run links between the used variables. We apply the Granger causality test and VECM model to discover the short and long run links between the variables. Results have shown a bidirectional causal relationship between energy use and CO₂ emissions. Economic growth affects CO₂ emission in the short and long run. While there is a unidirectional links running from energy use to economic growth at short run. The paper shares best practices from Tunisia in terms of efficient use of renewable energy policy enablers, which may be contextualized in other emerging economies in order to keep sustainability and to achieve the green economy.     

Social Performance and Firm Risk: Impact of the Financial Crisis

This paper examines the impact of the recent financial crisis (2008–2009) on the relation between a firm’s risk and social performance (SP) using a sample of non-financial U.S. firms covering the period 1991–2012. We find that the relation between SP and risk is significantly different in the crisis period (post-crisis period) compared to the pre-crisis period. SP reduces volatility during the financial crisis. The risk reduction potential of SP is mainly due to the strengths component of SP. Since the relation of risk is stronger with SP strengths than SP concerns, this implies an asymmetric relation between these SP components and a firm’s risk. Specifically, strengths act as a risk reduction tool during an adverse economic environment.     

The Impact of Forest Certification on Firm Financial Performance in Canada and the U.S.

The purpose of this article is to examine empirically the impact of environmental certification on firm financial performance (FP). The main question is whether there is a “green premium” for certified firms, and, if so, for what kind of certification. We analyze the short-run and the long-run stock price performance using an event-study methodology on a sample of Canadian and U.S. firms. The results of short-run event abnormal returns indicate that forest certification does not have any significant impact on firm FP regardless of the certification system carried out by firms. Unlike the short-run results, the long-run post-event abnormal returns suggest that forest certification has, on average, a negative impact on firm FP. However, the impact of forest certification on firm FP depends on who grants the certification, since only industry-led certification (Sustainable Forestry Initiative, Canadian Standards Association and ISO14001) are penalized by financial markets, whereas non-governmental organizations–led Forest Stewardship Council certification is not.