Since its launch in 2008, Bitcoin becomes one of the most successful and fast-growing alternative currencies. As of 2017, the market capitalization is around $46 billions and arguably expected to continue growing. The Bitcoin to the US dollar exchange rate has been very volatile and fluctuating...

This paper analyzes the time-series reaction of carry trade returns to changes in various risk factors. Using non-linear methods, I find that implied currency volatility is an informative time-series predictor. Increases (declines) in the implied currency volatility (or, generally, perceptions...

We analyse carry trades involving the Australian dollar, Indonesian rupiah, Indian rupee, New Zealand dollar and Philippine peso as target currencies. We find evidence supporting the view that downside risk is an important feature of such strategies and propose ways of measuring this risk

We quantify crash risk in currency returns. To accomplish this task, we develop and estimate an empirical model of exchange rate dynamics using daily data for four currencies relative to the US dollar: the Australian dollar, the British pound, the Swiss franc, and the Japanese yen. The model...