In asset management, the portfolio leverage affects performance, and can be subject to constraints and operational limitations. Due to the possible leverage aversion of the investors, the comparison between portfolio performances can be incomplete or misleading. We propose a procedure to...

We model financial innovations such as Exchange-Traded Funds, smart beta products, and many index-based vehicles as composite securities (CSs) that facilitate trading the common factors in assets' liquidation values. Through accessing a larger basket of assets in endogenously chosen proportions,...

Leveraged ETFs provide a convenient mechanism to dynamically change portfolio exposure and can be successfully used to construct robust portfolios that perform well during equity market drops. We start with a classical 60 percent Bonds/ 40 percent Stocks portfolio with monthly rebalancing that...

Leveraged ETFs provide a convenient mechanism to dynamically change portfolio exposure. A classical portfolio insurance strategy of Black-Jones-Perold can be easily implemented with leveraged ETFs. More complex dynamic portfolio strategies that also can be implemented using leveraged ETFs. We...

This study shows that exchange-traded fund (ETF) misvaluation — based on return differentials between ETFs and their net asset values (NAV) — comove excessively across ETFs. Excess comovements are positive (negative) and significant across ETFs in similar (distant) investment styles. Further...

We provide novel evidence supporting the notion that arbitrageurs can contribute to return comovement via ETF arbitrage. Using a large sample of U.S. equity ETF holdings, we document the link between measures of ETF activity and return comovement at both the fund and the stock levels, after...

New ETF creation has surged in recent years, giving investors the option to choose from a wide range of similar ETFs within each group of competitors. We identify groups of ETFs that can be considered direct competitors and examine the impact of competition on their market quality. Results show...

This paper attempts to investigate if adopting accurate forecasts from Neural Network (NN) models can lead to statistical and economically significant benefits in portfolio management decisions. In order to achieve that, three NNs, namely the Multi-Layer Perceptron (MLP), Recurrent Neural...

In this study, we attempt to identify the asset which has the best hedging characteristics against inflation. We study stock, bond, commodity, real estate and oil indexes. We also study these indexes tracking exchange traded funds (ETFs) to determine the most beneficial tradable asset in...

A widespread concern in the investment industry is whether commonly used investment management fee arrangements encourage investment managers to act in their clients' interests. The value to managers of a one-period call performance fee is maximized by maximizing performance volatility. This is...