A copula–GARCH model for macro asset allocation of a portfolio with commodities

Many authors have suggested that the mean-variance criterion, conceived by Markowitz (The Journal of Finance 7(1):77–91, 1952), is not optimal for asset allocation, because the investor expected utility function is better proxied by a function that uses higher moments and because returns are distributed in a non-Normal way, being asymmetric and/or leptokurtic, so the mean-variance criterion cannot correctly proxy the expected utility with non-Normal returns. In Riccetti (The use of copulas in asset allocation: when and how a copula model can be useful? LAP Lambert, Saarbrücken 2010), a copula–GARCH model is applied and it is found that copulas are not useful for choosing among stock indices, but can be useful in a macro asset allocation model, that is, for choosing stock and bond composition of portfolios. In this paper I apply that copula–GARCH model for the macro asset allocation of portfolios containing a commodity component. I find that the copula model appears to be useful and better than the mean-variance one for the macro asset allocation also in presence of a commodity index, even if it is not better than GARCH models on independent univariate series, probably because of the low correlation of the commodity index returns to the stock, the bond and the exchange rate returns.     

Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements

We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile regression with extreme value theory and uses a measurement equation that relates the realized measure to the latent conditional quantile. Model estimation is performed by quasi maximum likelihood, and a simulation experiment validates this estimator in finite samples. An extensive empirical analysis shows that high‐frequency measures are particularly informative of the dynamic quantiles. Finally, an out‐of‐sample forecast analysis of quantile‐based risk measures confirms the merit of the REQ.     

Gender Differences in Sorting

In this paper, we investigate gender differences in workers’ career development within and outside the firm to explain the existence of gender wage gaps. Using Danish employer–employee matched data, we find that good female workers are more likely to move to better firms than men but are less likely to be promoted. Furthermore, these differences in career advancement widen after the first child is born. Our findings suggest that career impediments in certain firms cause the most productive female workers to seek better jobs in firms in which there is less gender bias.     

Designing business models in circular economy: A systematic literature review and research agenda

The concept of circular economy is increasingly receiving attention in different domains, including strategic management, operations management, and technology management. It requires companies to design their business model (i.e., the value network, the relationships with the supply chain partners, and the value propositions towards customers) around a new concept of sustainable development that reduces consumption of natural resources and preserves the environment. However, extant research falls short in terms of explaining how companies design their business model according to the circular economy principles. Starting from this premise, the present paper provides a systematic review of the literature on the design of business models in the context of circular economy, aiming to offer an overview of the state of research and outline a promising research agenda.     

Macroeconomic forecasting and structural change

The aim of this paper is to assess whether modeling structural change can help improving the accuracy of macroeconomic forecasts. We conduct a simulated real‐time out‐of‐sample exercise using a time‐varying coefficients vector autoregression (VAR) with stochastic volatility to predict the inflation rate, unemployment rate and interest rate in the USA. The model generates accurate predictions for the three variables. In particular, the forecasts of inflation are much more accurate than those obtained with any other competing model, including fixed coefficients VARs, time‐varying autoregressions and the naïve random walk model. The results hold true also after the mid 1980s, a period in which forecasting inflation was particularly hard. Copyright © 2011 John Wiley & Sons, Ltd.     

The effects of foreign shocks when interest rates are at zero

In a two‐country DSGE model, the effects of foreign demand shocks on the home country are greatly amplified if the home economy is constrained by the zero lower bound on policy interest rates. This result applies even to countries that are relatively closed to trade such as the United States. Departing from many of the existing closed‐economy models, the duration of the liquidity trap is determined endogenously. Adverse foreign shocks can extend the duration of the trap, implying more contractionary effects for the home country. The home economy is more vulnerable to adverse foreign shocks if the neutral rate is low—consistent with “secular stagnation”—and trade openness is high.     

The economic and environmental performances of rural districts in Italy: Are competitiveness and sustainability compatible targets?

This paper analyses the economic performances of the rural system and the level of land sensitivity to degradation in Italy. Three indicators (district value added, share of agriculture on total product, and a composite index of land sensitivity) were used to classify 784 Italian local districts into eight performance classes. Four classes share a combination of high environmental quality (in terms of land degradation), high (or low) economic performances, and high (or low) productivity of the primary sector. The remaining four are characterised by a combination of low (and declining) environmental quality, high (or low) economic performances, and high (or low) productivity of the primary sector. The eight classes were grouped into four ‘environmental quality’ types and four ‘target performance’ categories to discriminate among high- and low-performance districts by considering twelve additional variables within a Discriminant Function Analysis (DFA). 148 high environmental performance districts (18% of total) were identified mainly across the Alps and Apennine while 314 districts (41%) were classified in the lowest performance class and concentrated in flat areas of southern Italy. The districts with high environmental performances were characterised, on average, by medium to low district value added, moderately low economic weight of the primary sector, and tourism specialisation. Districts with high economic performances and low environmental performances were characterised by high sensitivity to LD, low district value added, high share of agriculture in total product, and the lowest productivity of labour in all economic sectors. In these districts the risk of entering a downward spiral of rural poverty and environmental degradation is potentially high.     

A Range-Based Finite Difference Approach to Valuing Options in Markov Switching Regimes*

Recognizing the inflexibility inherent in standard capital budgeting analysis, recent research has provided new insights using a real options framework. This paper uses the explicit finite difference approach to value real options. However, instead of assuming a constant return and volatility term, we assume that these variables are sensitive to changes in the economic environment. Accordingly, we adapt our approach to incorporate a Markov switching feature. Further, we recognize that some of the modeling assumptions can be violated in a practical application. Therefore, we recommend using range based estimates of the real option value, as opposed to a point estimate.     

Dynamic capital structure and the contingent capital option

The financial crisis has emphasized the difficulties for financial companies to raise funds through conventional liabilities. In this environment, hybrid securities are becoming popular. In this paper we study the optimal capital structure of a company issuing a particular type of hybrid security: perpetual contingent capital, i.e., debt that converts into equity under some conditions. A two-period model with endogenous bankruptcy for a company with equity, straight debt and contingent capital is analyzed. We investigate the instrument under different conversion rules: automatic or optimally chosen by equity holders. We show that contingent capital reduces the coupon of straight debt and expected bankruptcy costs but can require a high spread. A trigger imposed by the regulatory authority in terms of par value of debt may induce a little use of contingent capital with an increase of bankruptcy costs.