The article analyzes the adaptability of SMC model, based on the features of purchase decision in B2B market. At the beginning of this article, we introduce the SMC model and its hypothesis, and then modify the model considering the characteristics of B2B market and the effects on purchasing decisions from the services provided by suppliers. Finally, we examine the modified model by a case, and...

Evidence indicates that people fear change and the unknown. We model this behavior as familiarity bias in which individuals focus on adverse scenarios in evaluating defections from the status quo. The model explains portfolio underdiversification, home and local biases. More importantly, equilibrium stock prices reflect an unfamiliarity premium. In an international setting, our model predicts t...

The fuzzy set is one of the powerful tools used to describe an uncertain environment. As well as quantifying any potential return and risk, portfolio liquidity is taken into account and a linear programming model for portfolio rebalancing with transaction costs is proposed. The level of return that an investor might aspire to, the risk and the liquidity of portfolio are vague in an uncertain fi...

The variance of a portfolio can be forecasted using a single index model or the covariance matrix of the portfolio. Using univariate and multivariate conditional volatility models, this paper evaluates the performance of the single index and portfolio models in forecasting Value-at-Risk (VaR) thresholds of a portfolio. The LR tests of unconditional coverage, independence and conditional coverag...

Robust portfolio optimization aims to maximize the worst-case portfolio return given that the asset returns are allowed to vary within a prescribed uncertainty set. If the uncertainty set is not too large, the resulting portfolio performs well under normal market conditions. However, its performance may substantially degrade in the presence of market crashes, that is, if the asset returns mater...

In this paper, we propose a multivariate market model with returns assumed to follow a multivariate normal tempered stable distribution. This distribution, defined by a mixture of the multivariate normal distribution and the tempered stable subordinator, is consistent with two stylized facts that have been observed for asset distributions: fat-tails and an asymmetric dependence structure. Assum...

This paper uses cointegration to evaluate long-run foreign exchange exposure. Since this technique requires exchange rates to be nonstationary, such that purchasing power parity does not hold in the long run, the analysis focuses on recent empirical findings suggesting that real exchange rates are nonstationary particularly because of oil price changes. Hence, the paper also estimates long-run ...

Dynamic portfolio trading system is used to allocate one’s capital to a number of securities through time in a way to maximize the portfolio return and to minimize the portfolio risk. Genetic programming (GP) as an artificial intelligence technique has been used successfully in the financial field, especially for the forecasting tasks in the financial markets. In this paper, GP is used to devel...

In this study, seven factors affecting consumer perception of online store image are identified based on store image measurement of traditional stores. Enjoyment and trustworthiness are two new antecedents suggested for the online store image. A cultural dimension is also introduced to understand the possible differences of model structure and relationships between online store image perception...

Adaptive portfolio management has been studied in the literature of neural nets and machine learning. The recently developed Temporal Factor Analysis (TFA) model mainly targeted for further study of the Arbitrage Pricing Theory (APT) is found to have potential applications in portfolio management. In this paper, we aim to illustrate the superiority of APT-based portfolio management over return-...