Investigating the causality links between environmental quality,foreign direct investment and economic growth in MENA countries

This paper investigates the causal relationship between environmental quality, Foreign Direct Investment and economic growth using simultaneous-equation panel data VAR model a panel of 17 MENA countries over the period 1990–2012. Our empirical results pointed out that there is a unidirectional causality running from both FDI stocks and CO₂ emissions to economic growth. They also indicate the existence of unidirectional causality running from economic growth to CO₂ emissions. However, the results support the occurrence of unidirectional causality from FDI stocks to CO₂ emissions. Our empirical result confirms the hypothesis of neutrality for the Environment-GDP link. There is bidirectional causality from ${\text{CO}}_2$emissions and economic growth, and a bidirectional causal relationship between FDI stocks and CO₂ emissions. For the global panel, we show that the existence of a unidirectional causality running from FDI stocks to economic growth; a bidirectional causality between economic growth and CO₂ emissions; as well as a bidirectional causality between FDI stocks and ${\text{CO}}_2$emissions.     

Strategic orientations of born globals—Do they really matter?

This paper contributes to the literature on born globals by introducing the concept of strategic orientations into this domain. Only few empirical studies have investigated them in this context. The study extends the existing knowledge on born globals and responds to complaints about lacking empirical research in this as yet infant field. The literature on strategic orientations and born globals was used as a basis for drawing up the hypotheses, which were tested with data from 299 Finnish companies representing several different industrial sectors. The findings indicate that strategic orientations are related to a firm's international performance. This relationship is moderated by its international growth strategy.     

A comparison of value relevance of accounting information in different segments of the Chinese stock market

This paper investigates the difference in the value relevance between the accounting information prepared and audited under the Chinese GAAP for A-share investors and under the international accounting standards (IAS) for B-share investors in the Chinese stock market. The study reports three primary findings. First, accounting information influences the pricing process in both the A-share market and the B-share market. Second, the accounting information in the B-share market is more value relevant than that in the A-share market, as expected. Finally, the value relevance level of accounting information in the A-share market was low in earlier years, peaked in 1996, and then decreased due to changes in the disclosure environment. However, the value-relevance level of accounting information in the B-share market had no substantial changes. Using a constant sample, control variables on firm features, and measures of traders' behavior, we obtain robust results. These findings have implications for policymakers on recent moves toward replacing local GAAP with the IAS.     

A policy model to analyze macroprudential regulations and monetary policy

We construct a small‐open‐economy, new Keynesian dynamic stochastic general‐equilibrium model with real financial linkages to analyze the effects of financial shocks and macroprudential policies on the Canadian economy. The model incorporates rich interactions between the balance sheets of households, firms and banks, long‐term household and business debt, macroprudential policy instruments and nominal and real rigidities and is calibrated to match dynamics in Canadian macroeconomic and financial data. We study the transmission of monetary policy and financial and real shocks in the model economy and analyze the effectiveness of various policies in simultaneously achieving macroeconomic and financial stability. We find that, in terms of reducing household debt, more targeted tools such as loan‐to‐value regulations are the most effective and least costly, followed by bank capital regulations and monetary policy, respectively.     

Gender differences in early-career wage growth

In Finnish manufacturing, the gender wage gap more than doubles during the first ten years in the labour market. This paper studies the factors contributing to the gender gap in early-career wage growth. The analysis shows that the size of the gender gap in average wage growth varies with mobility status, the gap being higher with employer changes compared to wage growth within firms. Several explanations for the gender gap in wage growth based on human capital theory and theory of compensating wage differentials are considered. However, much of the gap in wage growth remains unexplained. The distributional analysis of the wage growth shows that the female wage penalty increases significantly as we move along the conditional wage growth distribution, the increase being stronger with employer changes compared to within-firm wage growth.     

Country Risk,Regulation, and Liquidity Transformation in Palestine and Neighboring Countries

This study analyzes the impact of economic, financial, and political instability on the liquidity transformation of banks operating in unstable environments. Our main goal is to assess the relationship between overall risk in a country and liquidity transformation. With this goal in mind, we use a sample of five Middle Eastern countries during the period 2005–2010. Our results showed that the high-risk environment has a significant and negative impact on both liquidity transformation and the extension of credit. In addition, we conclude that high capital requirements may reduce further lending, while imposing liquidity requirements seems to be a better strategy for enhancing liquidity transformation.     

Forecasting financial distress for French firms: a comparative study

The aim of this paper is to compare three statistical methods predicting corporate financial distress. We use discriminant analysis, logistic regression and random forest (RF) methods. These approaches are evaluated based on a sample of 800 companies, composed of 400 healthy companies and 400 failed companies. This study covers the period from 2006 to 2008 using 33 financial ratios. The results show the superiority of the RF approach, which gives better results in terms of classification. It allows for better forecast accuracy because it minimizes type I and type II errors.     

Banking, contract enforcement and economic growth

We develop a new model that links credit contracts enforcement to banking emergence and economic growth. It is shown that the development process is composed of three stages. In the first stage, the economy develops slowly due to a primitive technology of capital accumulation. The second stage marks the emergence of banking and the substitution of the primitive technology by a more productive modern technology that enhances growth. Finally in the third stage, our model enables the realization of a dynamic capital accumulation scenario without credit rationing. Another finding is that a reduction in the enforcement cost accelerates the emergence of the banking system.     

Cross-dynamics of volatility term structures implied by foreign exchange options

This paper examines the cross-dynamics of volatility term structure slopes implied by foreign exchange options. The empirical findings demonstrate that a few principal components can explain a vast proportion of the variation in volatility term structure slopes across the major exchange rates. Furthermore, the results indicate that the euro is the dominant currency, as the implied volatility term structure of the euro is found to affect all the other volatility term structures, while the term structure of the euro appears to be virtually unaffected by the other currencies. Finally, our results provide evidence of significant nonlinearities in the relationship between the euro and the Swiss franc.     

Sensitivity analysis for applied general equilibrium models in the presence of multiple Walrasian equilibria

Summary. Pagan and Shannon's (1985) widely used approach employs local linearizations of a system of non-linear equations to obtain asymptotic distributions for the endogenous parameters (such as prices) from distributions over the exogenous parameters (such as estimates of taste, technology, or policy variables, for example). However, this approach ignores both the possibility of multiple equilibria as well as the problem (related to that of multiplicity) that critical points might be contained in the confidence interval of an exogenous parameter. We generalize Pagan and Shannon's approach to account for multiple equilibria by assuming that the choice of equilibrium is described by a random selection. We develop an asymptotic theory regarding equilibrium prices, which establishes that their probability density function is multimodal and that it converges to a weighted sum of normal density functions. An important insight is that if a model allows multiple equilibria, say , but multiplicity is ignored, then the computed solution for the i-th equilibrium generally no longer coincides with the expected value of that i-th equilibrium. The error can be large and correspond to several standard deviations of the mean's estimate. Received: December 7, 1999; revised version: December 4, 2000