Feature selection methods involving support vector machines for prediction of insolvency in non‐life insurance companies

We propose two novel approaches for feature selection and ranking tasks based on simulated annealing (SA) and Walsh analysis, which use a support vector machine as an underlying classifier. These approaches are inspired by one of the key problems in the insurance sector: predicting the insolvency of a non‐life insurance company. This prediction is based on accounting ratios, which measure the health of the companies. The approaches proposed provide a set of ratios (the SA approach) and a ranking of the ratios (the Walsh analysis ranking) that would allow a decision about the financial state of each company studied. The proposed feature selection methods are applied to the prediction the insolvency of several Spanish non‐life insurance companies, yielding state‐of‐the‐art results in the tests performed. Copyright © 2005 John Wiley & Sons, Ltd.     

The future of Russian gas exports to East Asia: Feasibility and market implications

For a long time, the Russian government has aimed to diversify gas exports to East Asian countries. This gearing of Russia towards Asia will have great consequences on world energy, the global economy, and geopolitics in the coming years. This paper analyzes the growth potential of Russia's diversification strategy and the impact this policy would have on sales to Europe. As the most likely scenario is for total gas exports to grow at a moderate rate from 2010 to 2030, any increase in sales to Asia could make difficult the raising of exports to Europe. Our thesis is that this trade-off will depend primarily on domestic consumption trends, geographic targeting of investments, and commercial and financial alliances with foreign partners. However, imports from Central Asia, declining exports to Ukraine and Belarus, and Gazprom investments in other gas-producing countries could also affect gas exports and gas distribution among different markets.     

Debt enforcement,investment, and risk taking across countries

We argue that the prospect of an imperfect enforcement of debt contracts in default reduces shareholder–debtholder conflicts and induces leveraged firms to invest more and take on less risk as they approach financial distress. To test these predictions, we use a large panel of firms in 41 countries with heterogeneous debt enforcement characteristics. Consistent with our model, we find that the relation between debt enforcement and firms’ investment and risk depends on the firm-specific probability of default. A differences-in-differences analysis of firms’ investment and risk taking in response to bankruptcy reforms that make debt more renegotiable confirms the cross-country evidence.     

The Adjusted Big Mac Methodology: A Clarification

The Economist's adjusted Big Mac index takes GDP into account in currency valuation, but the methodology is not explained. We show that the key to understanding the methodology is to distinguish between a currency's bilateral valuation (versus a specific currency) and the currency's overall valuation (versus a “basket” of a large number of currencies). Also, the adjusted Big Mac estimates of intrinsic foreign exchange (FX) rates have been better forecasts of actual FX changes than those of the original “raw” Big Mac index.     

Tacit collusion in housing markets: the case of Santiago,Chile

In this article, using a detailed micro-database from Santiago, Chile, the potential existence of tacit collusion in housing markets is investigated. In order to perform the test, Santiago’s housing market is split into four different submarkets using hedonic price analysis and household’s socioeconomics characteristics. Then, using a GMM panel data model, regressions are run for each submarket, correlating industry’s markups with the aggregate level of activity. The main finding is that low and middle income submarkets present higher average markups and a pro-cyclical behaviour. This finding is consistent with a market where participants do not face capacity constraints and behave strategically to sustain tacit collusion during increasing demand periods.     

EXCHANGE RATE FUNDAMENTALS,FORECASTING, AND SPECULATION: BAYESIAN MODELS IN BLACK MARKETS

Although speculative activity is central to black markets for currency, the out‐of‐sample performance of structural models in those settings is unknown. We substantially update the literature on empirical determinants of black market rates and evaluate the out‐of‐sample performance of linear models and non‐parametric Bayesian treed Gaussian process (BTGP) models against the random walk benchmark. Fundamentals‐based models outperform the benchmark in out‐of‐sample prediction accuracy and trading rule profitability measures given future values of fundamentals. In simulated real‐time trading exercises, however, the BTGP achieves superior realized profitability, accuracy and market timing, while linear models do no better than a random walk. Copyright © 2013 John Wiley & Sons, Ltd.     

Seeing Without Looking: The Effects of Hemispheric Functioning on Memory for Brands in Computer Games

The authors hypothesize that the effectiveness of in-game advertising is influenced by two inborn traits, bisected hemispheric functioning and physiological arousal, that are at the core of human behavior. A 2 (preattentive processing type) × 2 (arousal level) between-subjects design was employed in both Experiment 1 (well-known brand placement) and Experiment 2 (lesser-known brand placement). The results from the two experiments reveal that people show better recognition memory for in-game ads when brand names are presented peripherally in the right visual field and brand images are embedded peripherally in the left visual field. In addition, people can remember more brand ads when they experience less arousal (Experiment 1). This effect, however, is attenuated when unfamiliar brands are placed in the game (Experiment 2). Implications are discussed for further investigation.     

Effect of exploitation and exploration on the innovative as outcomes in entrepreneurial firms

The main aim of this study is to establish the effect of the Exploitation and Exploration; and the influence of these learning flows on the Innovative Outcome (IO). The Innovative Outcome refers to new products, services, processes (or improvements) that the organization has obtained as a result of an innovative process. For this purpose, a relationship model is defined, which is empirically contrasted, and can explains and predicts the cyclical dynamization of learning flows on innovative outcome in knowledge intensive firms. The quantitative test for this model use the data from entrepreneurial firms biotechnology sector. The statistical analysis applies a method based on variance using Partial Least Squares (PLS). Research results confirm the hypotheses, that is, they show a positive dynamic effect between the Exploration and the Innovative as outcomes. In the same vein, they results confirm the presence of the cyclic movement of innovative outcome with the Exploitation.     

The search for the best deal: How hotel cancellation policies affect the search and booking decisions of deal-seeking customers

This study examined cancellation policies and their role in shaping travelers’ deal-seeking behavior, exploring the impact of cancellation fees and deadlines on three, mutually exclusive, customers’ hotel booking behavior categories: “Book”, “Book and Search”, and “Search”. 291 subjects, who participated in a week long online “booking game”, attempted to book a room in a virtual hotel and get the best deal. The results were tested using small sample t-test for comparing proportions between two independent populations, non-parametric multiple pairwise comparisons, and multinomial logit regression models. The findings indicate that the cancellation deadline affected participants’ behavior while the size of the cancellation fee had no statistically significant impact. In addition, there was no significant difference between lenient cancellation deadline and no cancellation policy.