Time-varying correlations in oil,gas and CO2 prices: an application using BEKK,CCC and DCC-MGARCH models

Previous literature has identified oil and gas prices as being the main drivers of CO₂ prices in a univariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) econometric framework (Alberola et al., 2008; Oberndorfer, 2009). By contrast, we argue in this article that the interrelationships between energy and emissions markets shall be modelled in a Vector Autoregressive (VAR) and Multivariate GARCH (MGARCH) framework, so as to reflect the dynamics of the correlations between the oil, gas and CO₂ variables overtime. Using the Baba–Engle–Kraft–Kroner (BEKK), Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation MGARCH (DCC-MGARCH) models on daily data from April 2005 to December 2008, we highlight significant own-volatility, cross-volatility spillovers, and own persistent volatility effects for nearly all markets, indicating the presence of strong Autoregressive Conditional Heteroscedasticity (ARCH) and GARCH effects. Besides, we provide strong empirical evidence of time-varying correlations in the range of [?0.3;?0.3] between oil and gas, [?0.05;?0.05] between oil and CO₂, and [?0.2;?0.2] between gas and CO₂, that have not been considered by previous studies. These findings are of interest for traders and utilities in the energy sector, but also for a broader applied economics audience.     

Conjectural variations, symmetric equilibria and economic policy

In this paper, we consider conjectural variations in a simple static general equilibrium model under oligopolistic competition. The modeling of conjectures captures the role played by beliefs in a micro-founded model. So, the economy may have three kinds of symmetric general equilibria. Furthermore, these equilibria can be Pareto-ranked by the conjectural variation parameter. Finally, we consider the implementation of a tax on the strategic behaviors in case of balanced-budget rule. The comparative statics illustrates the idea according to which the effectiveness of the multiplier mechanism to mitigate the market distortions depends on the symmetric equilibrium considered. Therefore, the effect of the tax on the prices and economic activity depends on the degree of market power which is conjectured by the agents.     

Commodity markets through the business cycle

From 2008 to 2011, commodity markets experienced growing attention from the banking industry for various reasons: the summer 2008 oil price swing, the price surge in an ounce of gold, or sharp variations in agricultural prices. As a consequence, can we hypothesize the existence of a global connection between commodities and economic cycles? If these recent events suggest that commodity markets are strongly related to the business cycle, this evidence goes nevertheless against the widespread intuition that commodity markets are a strong source of diversification in a standard cash–bond–equity portfolio. Based on a data-set from 1990 to present, this paper investigates this issue by (i) looking at the reaction of commodity markets to economic news, and (ii) using a Markov regime-switching model to analyse economic regimes and commodity markets as an asset class.     

Types of technological scanning in manufacturing SMEs: an empirical analysis of patterns and determinants

As the component of environmental scanning that is concerned with science and technology, products, production processes, hardware and information systems, the concept of technological scanning, especially in small business, has received little empirical attention in the past. This paper aims to better define the different technological scanning practices of small and mediumsized enterprises (SMEs) and identify the main factors that determine these differences. This is done without relation to organizational effectiveness as technological scanning is but one of many potential influences on business performance. Using data obtained from a mail survey on the scanning practices of 324 SMEs, the study hopes to increase our understanding of how various entrepreneurs confront various environments in practice. The research model used is based on the notion that, to define different technological scanning practices in small business, four aspects must be considered: strategic orientation (objectives pursued); types of information sought (on technologies and their costs, human resources necessary, etc.); sources used (customers, fairs, specialized publications, suppliers, research centres, etc.); and scanning management practices (methods used, staff involved, level of formalization, and integration of activities). These aspects are contingent upon four factors: the managers' profile; their perception of the environment; their firm's characteristics; and their information network. A cluster analysis reveals that the sampled firms can be grouped into four separate categories, according to the intensity of their technological scanning activities and the type of strategy used. In the first category, where scanning is most developed, the SMEs emphasize cost reduction and control, followed by improvements in competitiveness; they seek mainly financial and human resource information, and use their own internal resources to obtain it. A second category, where scanning is least developed, puts the emphasis on increasing production capacity and flexibility; these SMEs seek very diverse information from many sources. Of the two intermediate groups, one aims to diversify and increase the quality of products and services; marketing information is obtained through customers, suppliers and subcontractors. The other, whose scanning is better organized, favours increasing production capacity through innovation and market information with the help of governmental and financial institutions. This research concludes that there is no ‘one best way’ to environmental scanning in manufacturing SMEs, and that it all depends upon the organization, its objectives and its environmental pressures.     

Options introduction and volatility in the EU ETS

To improve risk management in the European Union Emissions Trading Scheme (EU ETS), the European Climate Exchange (ECX) has introduced option instruments in October 2006. The central question we address is: can we identify a potential destabilizing effect of the introduction of options on the underlying market (EUA futures)? Indeed, the literature on commodities futures suggest that the introduction of derivatives may either decrease (due to more market depth) or increase (due to more speculation) volatility. As the identification of these effects ultimately remains an empirical question, we use daily data from April 2005 to April 2008 to document volatility behavior in the EU ETS. By instrumenting various GARCH models, endogenous break tests, and rolling window estimations, our results overall suggest that the introduction of the option market had the effect of decreasing the level of volatility in the EU ETS while impacting its dynamics. These findings are fairly robust to other likely influences linked to energy and commodity markets.     

Does Project Management Affect Business Productivity? Evidence From Australian Small to Medium Enterprises

A fundamental assumption of project management practice and research is that using project management to achieve organizational objectives improves organizational performance. However, there is little published research that directly questions this assumption. This paper tests the hypothesis that using project management increases the productivity of small to medium enterprises, using data from two longitudinal surveys of Australian businesses with less than 200 staff members. These data were used to create models of the relationship between productivity and business skills using binary logistic regression. The models demonstrate that project management has a significant impact on small to medium enterprise productivity.     

MUTUAL FUND PORTFOLIO CHOICE IN THE PRESENCE OF DYNAMIC FLOWS

We analyze the implications of dynamic flows on a mutual fund's portfolio decisions. In our model, myopic investors dynamically allocate capital between a riskless asset and an actively managed fund which charges fraction‐of‐fund fees. The presence of dynamic flows induces “flow hedging” portfolio distortions on the part of the fund, even though investors are myopic. Our model predicts a positive relationship between a fund's proportional fee rate and its volatility. This is a consequence of higher‐fee funds holding more extreme equity positions. Although both the fund portfolio and investors' trading strategies depend on the proportional fee rate, the equilibrium value functions do not. Finally, we show that our results hold even if investors are allowed to directly trade some of the risky securities.     

Estimating the effect of a retraining program on the re-employment rate of displaced workers

In this article, we estimate the effects of a French retraining program on the re-employment rate of displaced workers by matching techniques. This program, called ‘Conventions de conversion’, was intended to improve re-employment prospects of displaced workers by proposing them retraining and job seeking assistance for a period of 6 months beginning just after the dismissal. Our empirical analysis is based upon non-experimental data collected by the French Ministry of Labour. Matching estimates show that this program succeeded in increasing the employment rate of trainees by approximately 6 points of percentage in the medium-term, namely in the 2nd and 3rd years after the date of entry into the program. This improvement is essentially due to an increase of their re-employment rate in regular jobs, namely jobs under long-term labour contracts.     

Openness,inequality and poverty: Endowments matter

Using tariffs as a measure of openness, this paper finds consistent evidence that the conditional effects of trade liberalization on inequality are correlated with relative factor endowments. Trade liberalization, measured by changes in tariff revenues, is associated with increases in inequality in countries well-endowed with highly skilled workers and capital or with workers that have very low education levels. Similar, although less robust, results are also obtained when decile data are used instead of the usual Gini coefficients. Taken together, the results are strongly supportive of the factor-proportions theory of trade and suggest that trade liberalization in poor countries where the share of the labor force with little education is high raises inequality. Simulation results also suggest that relatively small changes in inequality as measured by aggregate measures of inequality, like the Gini coefficient, are magnified when estimates are carried out using decile data.