
arXiv: 1506.02802
handle: 10344/8905 , 11585/856824
AbstractWhen trading incurs proportional costs, leverage can scale an asset's return only up to a maximum multiple, which is sensitive to its volatility and liquidity. In a model with one safe and one risky asset, with constant investment opportunities and proportional costs, we find strategies that maximize long‐term returns given average volatility. As leverage increases, rising rebalancing costs imply declining Sharpe ratios. Beyond a critical level, even returns decline. Holding the Sharpe ratio constant, higher asset volatility leads to superior returns through lower costs.
Quantitative Finance - Trading and Market Microstructure, Probability (math.PR), leverage; portfolio choice; transaction costs, transaction costs, Trading and Market Microstructure (q-fin.TR), portfolio choice, FOS: Economics and business, 91G10, 91G80, Portfolio theory, Portfolio Management (q-fin.PM), Optimization and Control (math.OC), FOS: Mathematics, leverage, Mathematics - Optimization and Control, Quantitative Finance - Portfolio Management, Mathematics - Probability
Quantitative Finance - Trading and Market Microstructure, Probability (math.PR), leverage; portfolio choice; transaction costs, transaction costs, Trading and Market Microstructure (q-fin.TR), portfolio choice, FOS: Economics and business, 91G10, 91G80, Portfolio theory, Portfolio Management (q-fin.PM), Optimization and Control (math.OC), FOS: Mathematics, leverage, Mathematics - Optimization and Control, Quantitative Finance - Portfolio Management, Mathematics - Probability
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
