I extend the application of Bandi and Tamoni (2014)'s time series decomposition to other asset classes, such as fixed income, credit and credit derivatives, and other models, such as the Fama and French three factor model. I document a significant increase in R squared from using the...

The financial crisis has raised concerns throughout the industry on the possibility that hedging credit valuation adjustment (CVA) might become increasingly difficult should the long-standing correlation between singlename and index CDS products break down. So, we provide an estimation of the...

We analyze the Merton portfolio optimization problem when the growth rate is an unobserved Gaussian process whose level is estimated by filtering from observations of the stock price. We use the Kalman filter to track the hidden state(s) of expected returns given the history of asset prices, and...

With model uncertainty characterized by a convex, possibly non-dominated set of probability measures, the investor minimizes the cost of hedging a path dependent contingent claim with given expected success ratio, in a discrete-time, semi-static market of stocks and options. Based on duality...

A numerical technique based on the embedding technique proposed in [21, 33] for dynamic mean-variance (MV) optimization problems may yield spurious points, i.e. points which are not on the efficient frontier. In [27], it is shown that spurious points can be eliminated by examining the left upper...

We consider the problem of filtering and control in the setting of portfolio optimization in financial markets with random factors that are not directly observable. The example that we present is a commodities portfolio where yields on futures contracts are observed with some noise. Through the...

This paper considers the problem of portfolio optimization in a market with partial information and discretely observed price processes. Partial information refers to the setting where assets have unobserved factors in the rate of return and the level of volatility. Standard filtering techniques...

This paper investigates the seasonality patterns within various asset classes. We find that a strategy that buys the assets with the largest same-calendar-month past average returns (up to ten years) and sells the assets with the smallest same-calendar-month past average returns, earns...

Liquidity spillovers -- i.e., the transmissions of liquidity shocks from one asset to another -- are an important yet not fully understood feature of price formation in financial markets. In this paper, I examine liquidity spillovers across four asset classes traded in U.S. futures markets: Oil,...

This paper describes a model for the valuation of assets on a bank balance sheet with liquidity risk. The new feature of this model is that it explicitly incorporates the funding term of an asset. The inclusion of the funding term is important since it determines the expected liquidation loss....