This study focuses on the background and relationship of asset pricing, optimal portfolios and efficient portfolio frontiers. This has been discussed in light of multiple crisis; right from the Asian Crisis of 1997, dotcom of 2001 till the financial crisis of 2008. This study tracks the changes...

LOT liquidity model, which is a kind of Tobit model with two unknown censoring points, is commonly used in the literature of microstructure of financial markets to estimate transaction costs and market liquidity from the observed return series. As far as the estimation is concerned, method based...

In this paper we examine the predictability of asset returns by developing an approach that combines quantitative methods of forecasting, based on technical analysis. As an innovation we introduce a multiple criteria decision system making simultaneous use of trend indicators and other...

We clarify that the widely used estimation method for the LOT liquidity model in the market microstructure literature is improper in the sense of econometric inference. Based on an extensive simulation study and a real data analysis, we show that this method not only overestimates the true...

This paper identifies a clear tradeoff between tracking error — performance differences relative to a targeted asset allocation — and turnover—a proxy for rebalancing costs — that can help guide investors’ rebalancing choices. We find that calendar-based approaches, while convenient,...

While common machine learning algorithms focus on minimizing the mean-square errors of model fit, we show that genetic programming, GP, is well-suited to maximize an economic objective, the Sharpe ratio of the usual spread portfolio in the cross-section of expected stock returns. In contrast to...

Concerns about the fragility of the financial system caused by the OTC derivatives market has encouraged the increased use of counterparty risk mitigation techniques including the use of market compression. In this process groups of market participants share position information via a third...

This paper examines how volatility positions can be optimally constructed by modeling the selection process as a linear discrete ill-posed problem with box constraints. We show how this framework allows for a priori investor expectations and risk parameters to be applied in the optimization...