We design an optimal strategy for investment in a portfolio of assets subject to a multiplicative Brownian motion. The strategy provides the maximal typical long-term growth rate of investor’s capital. We determine the optimal fraction of capital that an investor should keep in risky assets as well as weights of different assets in an optimal portfolio. In this approach both average return and ...

A connection between the notion of information and the concept of risk and return in portfolio theory is deduced. This succeeds in two steps: A general moment-return relation for arbitrary assets is derived, thereafter the total expected return is connected to the Kullback-Leibler information. With this result the optimization problem to maximize the expected return of a portfolio consisting of...

Most research in customer asset management has focused on specific aspects of the value of the customer to the company. The purpose of this article is to propose an integrated framework, called CUSAMS (customer asset management of services), that enables service organizations (1) to make a comprehensive assessment of the value of their customer assets and (2) to understand the influence of mark...

Introduction: The major cause of bank distress in Nepal is associated with poor credit management which results to decline standing the banks. study adopts judgmental sampling techniques.
 Objective: To analyze and evaluate impact credit-risk ratio on return assets commercial banks Nepal.
 Research design: Descriptive exploratory research designs were used.
 Methods materials: Re...

Economic theory implies that research and development (R&D) efforts increase firm productivity and ultimately profits. In particular, R&D expenses lead to the development of intangible assets in the form of intellectual property (IP) and these assets command a return that increases overall profits of the firm. This hypothesis is investigated for the North American and European automotive suppli...

In portfolio selection models, uncertainty plays an important role. The parameter’s uncertainty leads to getting away from optimal solution so it is needed to consider that in models. In this paper we presented a two-stage robust model that in first stage determines the desired percentage of investment in each industrial group by using return and risk measures from different industries. One rea...

We study portfolio diversification in an experimental decision task, where asset returns depend on a draw from an ambiguous urn. Holding other information identical and controlling for the level of ambiguity, we find that labeling assets as being familiar or from the homeland of subjects increases portfolio weights by around 25%, respectively; although the return-generating process remains unaf...