this paper presents dynamic portfolio model based on the merton's optimal investment-consumption model, which combines dynamic synthetic put option using risk-free and risky assets. this paper is extended version of methodological paper published by yuan yao (2012) cite{26}. because of the long history of the development of foreign financial market, with a variety of financial derivatives, the ...

We present an expected utility maximisation framework for optimally controlling a portfolio of options. By combining the replication approach to option pricing with ideas of the martingale approach to (stock) portfolio optimisation we arrive at an explicit solution of the option portfolio problem. Its characteristics are illustrated by some speciic examples. As an application, we calculate an o...

Let the random (stock market) vector X 2 0 be drawn according to a known distribution function F(x), x E R ". A log-optimal portfolio b* is any portfolio b achieving maximal expected log return W* = sup,, E In b'X, where the supremum is over the simplex b 2 0, Cr, b, = 1. An algorithm is presented for finding b*. The algorithm consists of replacing the portfolio b by the expected portfolio b', ...

Portfolio diversification and active risk management are essential parts of financial analysis which became even more crucial (and questioned) during and after the years of the Global Financial Crisis. We propose a novel approach to portfolio diversification using the information of searched items on Google Trends. The diversification is based on an idea that popularity of a stock measured by s...

A KADS based requirement analysis for the management of stock trading portfolios is presented. This provides a theoretical foundation for a stock trading system. This system is designed around portfolio management tasks that include eliciting user profiles, collecting information on the user’s portfolio position, monitoring the environment on behalf of the user, and making decision suggestions ...

We derive optimal portfolio weights for an investor who has specific beliefs regarding the distribution of a stock price at a future time. For example, a fundamental investor will want to take advantage of the information his analysis provides when constructing a portfolio. In this regard, we examine the optimal weights for models in which the investor believes that there is a range in which th...

“Matching” portfolios is a technique for generating a reasonable benchmark for determining the relative performance of a specific equity portfolio and is based on the work in Ho et al. (2005a). Consider the simplest case of a long-only mutual fund that has returned 10% in the last year. Has the portfolio done well? If the average stock in the universe has gone up 50% then, obviously, the portfo...

We study how stock return’s predictability and model uncertainty affect a rational buy-and-hold investor’s decision to allocate her wealth for different lengths of investment horizons in the UK market. We consider the FTSE All-Share Index as the risky asset, and the UK Treasury bill as the risk free asset in forming the investor’s portfolio. We identify the most powerful predictors of the stock...

This work discusses most frequently traded stocks of National stock exchange of India. A prediction based portfolio optimization model is considered to present an ideal portfolio out of the considered stocks. Neural network has been used to predict stock returns and a risk measure is derived that has the same foundation as that of mean variance model. The architecture of the network is designed...