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...

The phrase long-term investing in triple leveraged ETFs is somewhat of an anathema for investment academicians. As a result of daily rebalancing and so-called beta slippage or “the constant leverage trap” it is highly likely over the long term to significantly deviate from the targeted...

This article investigates using 1.25X leveraged stock and bond exchange-traded funds (ETFs) as an asset allocation strategy. Performance is analyzed by replicating funds from 1989-2017, including all relevant costs. Conditions for excess returns are derived analytically and confirmed...

The method previously devised to harvest most of the potential gain in bull markets while avoiding most of the pain in bear markets is improved to provide greater accuracy and minimize whipsaw trading that can occur in some cases. The basic method focuses on a buy-the-market and hold strategy...

Over the past 20 years, a trend toward index fund investing has emerged. Currently, more mutual fund assets are indexed to the S&P 500 than any other index. Prior research on downward-sloping demand curves suggests that widespread acceptance of S&P 500 index investing may push prices of...

We evaluate the performance of fixed income Exchange Traded Funds (ETFs). We find that Treasury ETFs are indeed able to track their benchmarks, but that Investment Grade corporate bond ETFs underperform their benchmarks and High Yield corporate bond ETFs even severely underperform their...