We study measures of foreign exchange rate volatility based on high-frequency (5-minute) $/DM exchange rate returns using recent nonparametric statistical techniques to compute realized return volatility and its separate continuous sample path and jump components, and measures based on prices of exchange rate futures options, allowing calculation of option implied volatility. We find that implied volatility is an informationally efficient but biased forecast of future realized exchange rate volatility. Furthermore, we show that log-normality is an even better distributional approximation for implied volatility than for realized volatility in this market. Finally, we show that the jump component of future realized exchange rate volatility is...
This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency...
This paper presents a mixture multiplicative error model with a time-varying probability between reg...
This paper comprehensively investigates the role of realized jumps detected from high frequency data...
We study measures of foreign exchange rate volatility based on high-frequency (5- minute) $/DM excha...
We study the forecasting of future realized volatility in the foreign exchange, stock, and bond mark...
Market participants' forecasts of future exchange rate volatility can be recovered from option contr...
We utilise novel functional time series (FTS) techniques to characterise and forecast implied volat...
We study the forecasting of future realized volatility in the foreign exchange, stock, and bond mark...
peer-reviewedWe utilise novel functional time series (FTS) techniques to characterise and forecast i...
We study the relation between realized and implied volatility in the bond market. Realized volatilit...
We utilise novel functional time series (FTS) techniques to characterise and forecast implied volati...
A rapidly growing literature has documented important improvements in volatility measurement and for...
An efficient method is developed for pricing American options on combination stochastic volatility/j...
A rapidly growing literature has documented important improvements in volatility measurement and for...
The implied volatility (IV) is widely believed to be the best measure of exchange rate volatility. ...
This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency...
This paper presents a mixture multiplicative error model with a time-varying probability between reg...
This paper comprehensively investigates the role of realized jumps detected from high frequency data...
We study measures of foreign exchange rate volatility based on high-frequency (5- minute) $/DM excha...
We study the forecasting of future realized volatility in the foreign exchange, stock, and bond mark...
Market participants' forecasts of future exchange rate volatility can be recovered from option contr...
We utilise novel functional time series (FTS) techniques to characterise and forecast implied volat...
We study the forecasting of future realized volatility in the foreign exchange, stock, and bond mark...
peer-reviewedWe utilise novel functional time series (FTS) techniques to characterise and forecast i...
We study the relation between realized and implied volatility in the bond market. Realized volatilit...
We utilise novel functional time series (FTS) techniques to characterise and forecast implied volati...
A rapidly growing literature has documented important improvements in volatility measurement and for...
An efficient method is developed for pricing American options on combination stochastic volatility/j...
A rapidly growing literature has documented important improvements in volatility measurement and for...
The implied volatility (IV) is widely believed to be the best measure of exchange rate volatility. ...
This paper proposes an enhanced approach to modeling and forecasting volatility using high frequency...
This paper presents a mixture multiplicative error model with a time-varying probability between reg...
This paper comprehensively investigates the role of realized jumps detected from high frequency data...