Traditional portfolio optimization has been often criticized since it does not account for estimation risk. Theoretical considerations indicate that estimation risk is mainly driven by the parameter uncertainty regarding the expected asset returns rather than their variances and covariances. This is also demonstrated by several numerical studies. The global minimum variance portfolio has been a...

Teachers have to work with e-portfolio with their students. This is a very demanding task because they never were educated with e-portfolio themselves. Therefore a European Comenius project was submitted in 2005. In this approved project a whole week formation (april 2007) was offered to nineteen teachers from all over Europe. A year later they will meet again to see in what way the course has ...

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-...

This study investigates the performance of Bitcoin as a diversifier under different constraining portfolio optimization frameworks. The employs frameworks that seek to maximize risk-adjusted returns (Sharpe ratio) by optimizing allocations each asset class (asset allocation). attributes are evaluated comparing portfolios both with and without ranging from equal-weighted, risk-parity, semi-const...

Background: The Modern Electronic Technologies have had a deep impact on traditional methods of education and brought forth new methods for effective education. Electronic portfolio is one of the newest methods of teaching. Therefore, the purpose of the present research was to study the impact of using e-portfolio on Nursing Students' Learning in Physiology Course. Methods: The design of the st...

The growth optimal portfolio (GOP) is a portfolio which has a maximal expected growth rate over any time horizon. As a consequence, this portfolio is sure to outperform any other significantly different strategy as the time horizon increases. This property in particular has fascinated many researchers in finance and mathematics created a huge and exciting literature on growth optimal investment...

Portfolio turnpike theorems show that if preferences at large wealth levels are similar to power utility, then the investment strategy converges to the power utility strategy as the horizon increases. We state and prove two simple and general portfolio turnpike theorems. Unlike existing literature, our main result does not assume independence of returns and depends only on discounting of future...

a r t i c l e i n f o The technology acceptance model (TAM) has been applied in various fields to study a wide range of information technologies. Although TAM has been developed in this research stream in Taiwan, TAM's issues of measurement have received scant attention. A robust model must perform measurement invariance across different respondent subgroups to ensure that various sample profil...

In this work introduce an adaptive method of portfolio optimization. The basic idea is to describe essential movements of the stock price using a hidden Markov model and to calculate the optimal portfolio using a recursive algorithm. The portfolio optimization is adaptive in the sense that the standard EM–algorithm fits the model to historical data, which improves the portfolio performance.