Internal validity assessment of conjoint estimated attribute importance weights

This paper investigates how various conjoint designs (full versus fractional) and estimation procedures (LINMAP, MONANOVA, OLS) may interact with basic characteristics of the “true” utility functions (i.e., their range, shape, and curvature) when estimating attribute importance weights. Substantial weight distortions are found, especially under a fractional design.     

Investment portfolio balancing: application of a generic self-organizing fuzzy neural network (GenSoFNN)

In contrast to short-term stock trading, portfolio managers are interested in the medium- to long-term peaks and troughs of the stock price cycles as signals to balance their stock portfolios – the predicted trough is the signal to buy the stock and the predicted peak is the signal to sell the stock. As statistical models are generally inadequate or incapable of providing such portfolio balancing signals, we propose using the generic self-organizing fuzzy neural network (GenSoFNN)—a fuzzy neural system – as a tool for portfolio balancing. The network adopts the supervised learning approach to detect inflection points in the stock price cycles, and a modified locally weighted regression algorithm is employed to smooth the stock cycles. The GenSoFNN-based portfolio balancing system was evaluated with experiments conducted using 23 stocks from the New York Stock Exchange and NASDAQ, and the results showed an average profit return of 65.66%. The contributions of the proposed GenSoFNN intelligent portfolio balancing system are twofold: it can be used as an efficient trading solution and it can provide decision support in trading via its generated rules. Copyright © 2009 John Wiley & Sons, Ltd.     

Insider ownership and signals: evidence from stock split announcement effects

This study examines whether investors regard the level of insider ownership of a firm as useful for evaluating stock split decisions. Results show that the abnormal returns at the announcement of stock splits are positively related to the level of insider ownership. The results prevail even after controlling for other relevant factors. Further analysis indicates the positive relation exists for small firms, but not for large firms. This indicates the market evaluates stock split decisions within the context of both insider ownership and information asymmetry.     

Shrinkage Estimation Strategies in Generalised Ridge Regression Models: Low/High-Dimension Regime

In this study, we suggest pretest and shrinkage methods based on the generalised ridge regression estimation that is suitable for both multicollinear and high-dimensional problems. We review and develop theoretical results for some of the shrinkage estimators. The relative performance of the shrinkage estimators to some penalty methods is compared and assessed by both simulation and real-data analysis. We show that the suggested methods can be accounted as good competitors to regularisation techniques, by means of a mean squared error of estimation and prediction error. A thorough comparison of pretest and shrinkage estimators based on the maximum likelihood method to the penalty methods. In this paper, we extend the comparison outlined in his work using the least squares method for the generalised ridge regression.     

The relationship between corporate governance and foreign ownership of the banks in developing countries

The aim of this paper is to determine the effect of corporate governance on foreign ownership of the banks. Within this context, annual data of 65 developing countries for the periods between 2004 and 2013 was analyzed. In addition to this situation, 7 explanatory variables were used in this study in order to achieve this objective. As a result of the analysis, it was identified that there is a strong relationship between operations of foreign banks and governance levels of the countries. In this regard, it was determined that the factors of corruption, political stability, rule of law and flexibility in legal regulations affect foreign bank operations. Moreover, it was also analyzed that foreign bank operations are stronger in the countries that have low poverty, high political stability and efficient legal infrastructure. On the other hand, it was defined that strict legal regulation affects foreign bank operations negatively which shows that foreign banks prefer to enter into the countries that have flexible legal regulations. This study gives essential information to developing countries about the factors that affect the decisions of foreign banks in order to enter into a developing country. Therefore, by considering the results of this study, the authorities of these countries can have a chance to take necessary actions so as to attract foreign banks.     

The Informational Role of Stock and Option Volume

This article analyzes the intraday interdependence of orderflows and price movements for actively traded NYSE stocks andtheir Chicago Board Options Exchange (CBOE)-traded options.Stock net trade volume (buyer-initiated volume minus seller-initiatedvolume) has strong predictive ability for stock and option quoterevisions, but option net trade volume has no incremental predictiveability. This suggests that informed investors initiate tradesin the stock market but not in the option market. On the otherhand, both stock and option quote revisions have predictiveability for each other. Thus, while information in the stockmarket is contained in both quote revisions and trades, informationin the option market is contained only in quote revisions.     

Oblivious equilibrium for concentrated industries

This article explores the application of oblivious equilibrium (OE) to highly concentrated markets. We define a natural extended notion of OE, called partially oblivious equilibrium (POE), that allows for there to be a set of strategically important firms (the “dominant” firms), whose firm states are always monitored by every other firm in the market. We perform computational experiments that explore the characteristics of POE, OE, and Markov perfect equilibrium (MPE), and find that POE generally performs well in highly concentrated markets. We also derive error bounds for evaluating the performance of POE for cases where MPE cannot be computed.     

Modeling and Implementation of a New Negotiation Decision Support System for Conflict Resolution Under Uncertainty

Group Decision and Negotiation - The dynamic nature of negotiation and decision-making necessitates a flexible negotiation decision support system (NDSS) that can systematically investigate...