In analyzing the performance of volatility-targeting strategies, we found that conventional volatility targeting fails to consistently improve performance in global equity markets and can lead to markedly greater drawdowns. Motivated by return patterns in various volatility states, we propose a strategy of conditional volatility targeting that adjusts risk exposures only in the extremes during high- and low-volatility states. This strategy consistently enhances Sharpe ratios and reduces drawdowns and tail risks, with low turnover and leverage, when used in the major equity markets and for momentum factors across regions. Conditional volatility management can also be applied to tactical allocations among multiple assets ...
We scale portfolios by the inverse of their previous month’s realized variance to create volatility-...
Buy and hold strategies make staying disciplined difficult for investors, especially given the varia...
The traditional Black-Scholes (BS) model relies heavily on the assumption that underlying returns ar...
In analyzing the performance of volatility-targeting strategies, we found that conventional volati...
Many researchers analyzed the performance of the volatility-targeting strategy (see, e.g., Moreira a...
Volatility managed portfolios take less risk when volatility is high, and more risk when volatility ...
Volatility-based and volatility targeting approaches have become popular among equity fund managers ...
We present dynamic trading strategies that target a predefined level of risk measured by volatility,...
Portfolio risk exposure management based on volatility makes use of the two relevant correlations: t...
Score driven (SD) conditional volatility models allow for rich volatility dynamics and realistic dis...
Though, profitable, momentum is punctuated with crashes which make the strategy risky and unfavoura...
This article examines the feasibility of usingvolatility as an asset class to diversify equity portf...
A risk-averse investor with a long equity position is presumably interested in identifying a hedging...
Volatility has evolved as an attractive new asset class of its own. The most common instruments for ...
We scale portfolios by the inverse of their previous month’s realized variance to create volatility-...
We scale portfolios by the inverse of their previous month’s realized variance to create volatility-...
Buy and hold strategies make staying disciplined difficult for investors, especially given the varia...
The traditional Black-Scholes (BS) model relies heavily on the assumption that underlying returns ar...
In analyzing the performance of volatility-targeting strategies, we found that conventional volati...
Many researchers analyzed the performance of the volatility-targeting strategy (see, e.g., Moreira a...
Volatility managed portfolios take less risk when volatility is high, and more risk when volatility ...
Volatility-based and volatility targeting approaches have become popular among equity fund managers ...
We present dynamic trading strategies that target a predefined level of risk measured by volatility,...
Portfolio risk exposure management based on volatility makes use of the two relevant correlations: t...
Score driven (SD) conditional volatility models allow for rich volatility dynamics and realistic dis...
Though, profitable, momentum is punctuated with crashes which make the strategy risky and unfavoura...
This article examines the feasibility of usingvolatility as an asset class to diversify equity portf...
A risk-averse investor with a long equity position is presumably interested in identifying a hedging...
Volatility has evolved as an attractive new asset class of its own. The most common instruments for ...
We scale portfolios by the inverse of their previous month’s realized variance to create volatility-...
We scale portfolios by the inverse of their previous month’s realized variance to create volatility-...
Buy and hold strategies make staying disciplined difficult for investors, especially given the varia...
The traditional Black-Scholes (BS) model relies heavily on the assumption that underlying returns ar...