Currency Management Styles: Ten Years On
James Binny
A Case for Currency in Institutional Portfolios
The Currency Conundrum: Regret Versus Optimal Hedging
Global Asset Allocation and Optimal US Dollar Hedging
Alternative Currency Hedging Strategies with Known Covariances
Strategic Asset Allocation and Currency Betas
Separating Currency Returns from Asset Returns in Theory and Practice: Conscious Currency and Beyond
Economic Data Surprises and Currency Alpha
Is Trend Following in Foreign Exchange Markets Going Out of Fashion?
The Carry Trade: The Essentials of Theory, Strategy and Risk Management
Carry Trades in Emerging Markets
Investing in Emerging Market Currencies: A Rewarded Risk
The Currency Investing Process: Managing G10 Currencies
Systematic Currency Trading
A Discretionary Approach to Currency Investing
Due Diligence as a Source of Alpha
Currency Forecasting: Generating Views about Foreign Exchange
Exchange Rates, Risk Premia and Inflation-indexed Bond Yields
Currency Investing: A Risk Premium Approach
Currency Management Styles: Ten Years On
The Future of Currency Investing in Institutional Portfolios
In 2005, previous research (Binny, 2005) attempted to explain the simple inefficiencies that enable currency managers to make profits for their clients, and to illustrate the techniques using “naïve simulations” of simple currency investment strategies. These simple naïve simulations – value, trend-following, yield and volatility capture – continued to be updated and published on Bloomberg (as ABN AMRO Naïve Currency Management indices), although, as the author went to work at a hedge fund, the indices were discontinued. However, many banks have come to adopt similar indices to illustrate currency returns and, frequently, as the basis for derivatives.
Many of these other subsequent indices are more sophisticated and “optimised” than the original naïve versions. The optimisation may well have been appropriate where they were being sold as investment products rather than just as illustrations/benchmarks (which was the intention with the original naïve versions). However, this chapter will seek to update those original simulations without further optimisation, representing truly “out-of-sample” empirical results. This approach maintains the original naïve concept and avoids the
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