Labor income and risky investments: can part-time farmers compete?

In the developed countries, a majority of farm households receive at least as much income from nonfarm sources as from the farm. Such part-time farms have survived inspite of lower returns than full-time farms. This paper considers when lower returns to part-time farming could be compensated by risk-reduction due to diversification of income sources. The paper uses a dynamic portfolio choice model with labor income. The model and results could be applied in other contexts as well.     

The prediction of bank acquisition targets with discriminant and logit analyses: Methodological issues and empirical evidence

This paper uses discriminant and logit analyses to develop prediction models to identify bank acquisition targets. We consider several methodological issues, such as whether the choice of the estimation technique, the selection of variables, the use of raw versus industry relative data, the train-and-test sampling scheme, and the criteria for model evaluation affect the predictive accuracy of the developed models. Both estimation methods generate remarkably similar model performance rankings, while differences are revealed in the relative importance of variables when using raw versus industry relative data. We find that in most cases there is a fair amount of misclassification, consistent with previous studies in non-financial sectors, which is hard to avoid given the nature of the problem.     

What Drives Acquisitions in the EU Banking Industry? The Role of Bank Regulation and Supervision Framework,Bank Specific and Market Specific Factors

We investigate the determinants of commercial bank acquisitions in the former fifteen countries of the European Union by evaluating the impact of bank‐specific measures, such as size, growth and efficiency of banks, and external influences reflecting industry level differences in the regulatory and supervision framework, market environment and economic conditions. Our empirical analysis involves multinomial logit estimation at various levels in order to identify those characteristics that most consistently predict targets and acquirers from a sample of over 1400 commercial banks. The overall results indicate that, relative to banks that were not involved in the acquisitions, (i) targets and acquirers were significantly larger, less well capitalized and less cost efficient, (ii) targets were less profitable with lower growth prospects, and acquirers more profitable with higher growth prospects, (iii) external factors have affected targets and acquirers differently, and their effects have not been consistent or robust to sample size changes.     

Foreign ownership and productivity in Chinese newly listed firms: the moderating roles of founder’s human capital and social ties

This paper studies the effects of foreign ownership on firm-level productivity and examines the different moderating roles of the firm-founder’s human capital and social ties on the foreign ownership - productivity link. Leveraging a unique sample of 428 small and medium-sized firms listed on the Growth Enterprise Market in the Shenzhen Stock Exchange between 2009 and 2016, we find that the foreign ownership’s contribution to productivity is not linear and varies across different quantiles of the productivity distribution. Our findings also show that the founder’s education and foreign experience strengthen the foreign ownership - productivity link, while the founder’s political and managerial ties weaken it. Our results reveal the strategic importance of the founder and contribute to an improved understanding of why firms vary in their ability to enhance productivity in emerging economies.

     

The identification of acquisition targets in the EU banking industry: An application of multicriteria approaches

In this paper we develop classification models for the identification of acquisition targets in the EU banking industry, incorporating financial variables that are mostly unique to the banking industry and originate from the CAMEL approach. A sample of 168 non-acquired banks matched with 168 acquired banks is used over the period 1998-2002, covering 15 EU countries. We compare and evaluate the relative efficiency of three multicriteria approaches, namely MHDIS, PAIRCLAS, and UTADIS, with all models developed and tested using a 10-fold cross validation approach. We find that the importance of the variables differs across the models. However, on the basis of univariate test and the results of the models we could state that in general after adjusting for the country where banks operate, acquired banks are less well capitalized and less cost and profit efficient. The results show that the developed models can achieve higher classification accuracies than a naïve model based on random assignments. Nevertheless, there is fair amount of misclassification that is hard to avoid given the nature of the problem, showing that as in previous studies for non-financial firms, the identification of acquisitions targets in banking is a difficult task.     

UNIVERSITY OF GEORGIA ROUNDTABLE ON: Enterprise‐Wide Risk Management

For many years, MBA students were taught that there was no good reason for companies that hedge large currency or commodity price exposures to have lower costs of capital, or trade at higher P/E multiples, than comparable companies that choose not to hedge such financial price risks. Corporate stockholders, just by holding well‐diversified portfolios, were said to neutralize any effects of currency and commodity price risks on corporate values. And corporate efforts to manage such risks were accordingly viewed as redundant, a waste of corporate resources on a function already performed by investors at far lower cost. But as this discussion makes clear, both the theory and the corporate practice of risk management have moved well beyond this perfect markets framework. The academics and practitioners in this roundtable begin by suggesting that the most important reason to hedge financial risks—and risk management's largest potential contribution to firm value—is to ensure a company's ability to carry out its strategic plan and investment policy. As one widely cited example, Merck's use of FX options to hedge the currency risk associated with its overseas revenues is viewed as limiting management's temptation to cut R&D in response to large currency‐related shortfalls in reported earnings. Nevertheless, one of the clear messages of the roundtable is that effective risk management has little to do with earnings management per se, and that companies that view risk management as primarily a tool for smoothing reported earnings have lost sight of its real economic function: maintaining access to low‐cost capital to fund long‐run investment. And a number of the panelists pointed out that a well‐executed risk management policy can be used to increase corporate debt capacity and, in so doing, reduce the cost of capital. Moreover, in making decisions whether to retain or transfer risks, companies should generally be guided by the principle of comparative advantage. If an outside firm or investor is willing to bear a particular risk at a lower price than the cost to the firm of managing that risk internally, then it makes sense to lay off that risk. Along with the greater efficiency and return on capital promised by such an approach, several panelists also pointed to one less tangible benefit of an enterprise‐wide risk management program—a significant improvement in the internal corporate dialogue, leading to a better understanding of all the company's risks and how they are affected by the interactions among its business units.     

The impact of banking regulations on banks' cost and profit efficiency: Cross-country evidence

This paper uses stochastic frontier analysis to provide international evidence on the impact of the regulatory and supervision framework on bank efficiency. Our dataset consists of 2853 observations from 615 publicly quoted commercial banks operating in 74 countries during the period 2000-2004. We investigate the impact of regulations related to the three pillars of Basel II (i.e. capital adequacy requirements, official supervisory power, and market discipline mechanisms), as well as restrictions on bank activities, on cost and profit efficiency of banks, while controlling for other country-specific characteristics. Our results suggest that banking regulations that enhance market discipline and empower the supervisory power of the authorities increase both cost and profit efficiency of banks. In contrast, stricter capital requirements improve cost efficiency but reduce profit efficiency, while restrictions on bank activities have the opposite effect, reducing cost efficiency but improving profit efficiency.     

The Effect of Board Size and Composition on the Efficiency of UK Banks

We examine a sample of 17 banking institutions operating in the UK between 2001 and 2006 to provide empirical evidence on the association between the efficiency of UK banks and board structure, namely board size and composition. Our approach is to use data envelopment analysis to estimate several measures of the efficiency of banks, and then to use panel data regressions for investigating the impact of board structure on efficiency. After controlling for bank size and capital strength, we find some evidence of a positive association between board size and efficiency, although this is not robust across all our specifications. Board composition, by contrast, has a robustly significant and positive impact on all measures of efficiency.     

Autoregressive conditional durations: An application to the Surinamese dollar versus the US dollar exchange rate

The parallel market nominal exchange rate of the United States dollar vis-à-vis the Surinamese dollar (USD/SRD) exhibited periods of severe volatility which were often followed by episodes of stability, usually at a cost of sharp depreciations. This study seeks to model this exchange rate using autoregressive conditional duration models. These models are suitable for modelling events occurring with irregular intervals. Exchange rates in developing countries have distinct features compared to exchange rates in countries with well-established and accessible financial markets. A key feature is that for these developing countries, exchange rates only occasionally experience jumps. Our findings suggest that past exchange rate changes appear to be a significant driver of future exchange rate jumps. Furthermore, our results show that money, international reserves, and commodity prices can explain jumps in the market USD/SRD exchange rate.