What influences continuous employee development decisions?

Organizational changes have created a need for adaptable pre-trained workers and for employees to have more “protean” career paths and be involved in self-directed ongoing development [Hall & Mirvis, 1995. The new career contract: Developing the whole person at midlife and beyond. Journal of Vocational Behavior, 47(3), 269–289]. To help understand the processes involved in this development, a model of continuous employee development is proposed. This model integrates prior work from career development, training, and education literatures and builds on it by proposing factors that affect the occurrence of future development. Research supporting the model is reviewed and specific testable propositions derived from the variables in the model are given. Recommendations for scale usage in testing the model are also provided. Finally, the novel contributions of the model are highlighted, the practical implications of the model for organizations are outlined, and the role of the education system in these processes is discussed.     

DO MARKETS PENALIZE AGENCY CONFLICTS BETWEEN CONTROLLING AND MINORITY SHAREHOLDERS? EVIDENCE FROM CHILE

Using a sample of Chilean listed firms with widespread presence of economic conglomerates that use pyramid structures to control affiliated companies, we find that firms where controlling shareholders have higher coincidence between cash and control rights are persistently more valued by the market. We carefully check that our results are not driven by omitted variable biases and control for reverse causation using a feature of Chilean Corporations Law that provides an exogenous instrument for ownership concentration.     

On the index tracking and the statistical arbitrage choosing the stocks by means of cointegration: the role of stock picking

In this paper, we propose a new methology for Index Tracking (IT) by means of cointegration which provides some significant improvements on that field. As the quality of the tracking portfolio (TP) depends highly on the stock selection procedure, we propose picking the stocks using a model selection technique based on optimizing the cointegration level of the TP and the benchmark index instead of selecting, as in previous papers the assets by ad hoc decisions. To illustrate an empirical application of these techniques we use daily closing prices in the Dow Jones Industrial Average (DJIA) index over two different periods; one period which goes from 1 January 1990 to 31 December 2001 previously used by other authors, and the bear and a turmoil period, which goes from January 2007 to May 2012, inside the current financial crisis. Using only five assets we are able to successfully track the DJIA index and our results improve the IT technique based on cointegration that chooses stocks with maximum capitalization level. We also have compared our results with a more traditional procedure based on correlation and again our results reveal superiority. The empirical illustration not only has been focused on the TP itself, but has also been extended to tracking the index with an added profitability of 5, 10, 15 or 20% and to long-short strategies, producing profitable results.     

Inference on factor structures in heterogeneous panels

This paper develops an estimation and testing framework for a stationary large panel model with observable regressors and unobservable common factors. We allow for slope heterogeneity and for correlation between the common factors and the regressors. We propose a two stage estimation procedure for the unobservable common factors and their loadings, based on Common Correlated Effects estimator and the Principal Component estimator. We also develop two tests for the null of no factor structure: one for the null that loadings are cross sectionally homogeneous, and one for the null that common factors are homogeneous over time. Our tests are based on using extremes of the estimated loadings and common factors. The test statistics have an asymptotic Gumbel distribution under the null, and have power versus alternatives where only one loading or common factor differs from the others. Monte Carlo evidence shows that the tests have the correct size and good power.     

Optimal close-to-home biases in asset allocation

This article studies optimal portfolio decisions with (long-term) liabilities for small open economy based investors, including the optimality of currency hedging (Walker (2008a). Chile is the home country of the representative investor, but results are likely to hold more generally. The problem is set up as in [Sharpe & Tint, 1990] and [Hoevenaars et al., 2007]. Hedging the liabilities and the consumption currency may imply optimal close-to-home biases, defined as overweighting asset classes which are highly correlated with local ones. The implementation challenges include: developing a methodology to estimate expected returns in local (real) currency; estimating the covariance matrix allowing for serial and crossed-serial correlations; and checking the results' robustness using a resampling method. The findings are: (i) portfolios always have optimal close-to-home biases, beyond the investment in local fixed income to hedge liabilities; (ii) currency hedging reduces investment in close-to-home asset classes, (iii) but has ambiguous effects on welfare — detected with the resampling method; (iv) currency hedged long-term US bonds are useful for hedging local interest rate risk; and (v) liabilities give access to high risk-return portfolios, not affecting otherwise the overall shape of the efficient regions. This article can be useful to investors based on small open economies, including pension funds, insurance companies, sovereign wealth funds and Central Banks.     

Optimal exploration investments under price and geological‐technical uncertainty: a real options model

This article develops a real options model for valuing natural resource exploration investments (e.g. oil or copper) when there is joint price and geological‐technical uncertainty. After a successful several‐stage exploration phase, there is a development investment and an extraction phase. All phases are optimized contingent on price and geological‐technical uncertainty.
Several real options are considered. There are flexible investment schedules for all exploration stages and a timing option for the development investment. Once the mine is developed, there are closure, opening and abandonment options for the extraction phase. Our model maintains a relatively simple valuation structure by collapsing price and geological‐technical uncertainty into a one‐factor model.
We apply the model to a copper exploration prospect and find that a significant fraction of total project value is due to the operational, development and exploration options available to project managers.     

Institutional Constraints,Stakeholder Pressure and Corporate Environmental Reporting Policies

Within the theoretical framework of socio‐political economics, and more specifically of stakeholder theory, this work examines whether companies operating under different institutional constraints and stakeholder pressure tend to emphasize different models of corporate environmental reporting. Furthermore, the paper tests whether different corporate environmental reporting policies are driven by the countries' corporate governance systems. A sample of 3931 international companies was examined through a logistic biplot and conditional mean linear regression models. The main results reveal that companies follow two distinct environmental reporting approaches, which depend on specific stakeholders and institutional requirements. The first model, which is followed by firms within codified law countries, mostly focuses on water and emissions. The second approach, mainly followed by companies operating in common law countries, emphasizes materials and energy issues. This finding reveals that companies gradually modify their environmental strategies to make themselves more compatible with the characteristics of the social and institutional environment, which will result in several corporate benefits. The paper provides several outstanding implications for companies' strategic managers, national institutions and firms' stakeholders, especially for investors and customers. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

Patents and R&D as Real Options

This article develops and implements a simulation approach to value patents and patent‐protected R&D projects based on the Real Options approach. It takes into account uncertainty in the cost‐to‐completion of the project, uncertainty in the cash flows to be generated from the project, and the possibility of catastrophic events that could put an end to the effort before it is completed. It also allows for the possibility of abandoning the project when costs turn out to be larger than expected or when estimated cash flows turn out to be smaller than anticipated. This abandonment option represents a very substantial part of the project's value when the project is marginal or/and when uncertainty is large. The model presented can be used to evaluate the effects of regulation on the cost of innovation and the amount on innovative output. The main focus of the article is the pharmaceutical industry. The framework, however, applies just as well to other research‐intensive industries such as software or hardware development.
(J.E.L.:G31, O22, O32).     

On the endogeneity of exchange rate regimes

The literature has identified three main approaches to account for the way exchange rate regimes are chosen: (i) the optimal currency area theory; (ii) the financial view, which highlights the consequences of international financial integration; and (iii) the political view, which stresses the use of exchange rate anchors as credibility enhancers in politically challenged economies. Using de facto and de jure regime classifications, we test the empirical relevance of these approaches separately and jointly. We find overall empirical support for all of them, although the incidence of financial and political aspects varies substantially between industrial and non-industrial economies. Furthermore, we find that the link between de facto regimes and their underlying fundamentals has been surprisingly stable over the years, suggesting that the global trends often highlighted in the literature can be traced back to the evolution of their natural determinants, and that actual policies have been less influenced by the frequent twist and turns in the exchange rate regime debate.     

A re-examination of international portfolio diversification based on evidence from leveraged bootstrap methods

This article investigates the issue of international portfolio diversification with respect to the three largest financial markets in the world—namely the US, Japan and the UK. In addition to making use of traditional portfolio analysis, we also suggest a procedure to calculate bootstrap correlation coefficients that can take into account the dynamic structure between the markets as measured by bootstrapped causality tests. Weekly data is used. The results from the first approach are supporting international diversification. The bootstrapped causality tests provide additional empirical support for this conclusion since the size of the causal effects is negligible and the bootstrap correlations are similar as the standard ones.