Estimating the Probability Distribution of the Future Exchange Rate from Option Prices

1997 ◽  
Vol 5 (2) ◽  
pp. 18-36 ◽  
Author(s):  
Allan M. Malz
2020 ◽  
Vol 11 (4) ◽  
pp. 129
Author(s):  
Muhammad Asadullah ◽  
Nawaz Ahmad ◽  
Maria José Palma Lampreia Dos-Santos

The main aim of this paper is to forecast the future values of the exchange rate of the USD. Dollar (USD) and Pakistani Rupee (PR). For this purpose was used the ARIMA model to forecast the future exchange rates, because the time series was stationary at first difference.  Data reported to five years ranging from the first day of April 2014 to 31st March 2019. The results proved that ARIMA (1,1,9) is the most suitable model to forecast the exchange rate. The difference between the forecasted values and actual values are less than 1%; therefore, it was found that the ARIMA is robust and this model will be helpful for the government functionaries, monetary policymakers, economists and other stakeholders to identify and forecast the future trend of the exchange rate and make their policies accordingly.


Author(s):  
Dhona Shahreza

This article aims to analyze the movement of Rupiah to US Dollar rate and to create ARIMA forecasting model. daily Rupiah middle rate from M11 2014 to M06 2017 is taken from www.bi.go.id. Eviews 6 portable is implemented to analyze the data. The results show that the movement of Rupiah to US Dollar rate tends to fluctuate and ARIMA (1,0,0) model 〖kurs〗_t=13395.21+0.983776〖kurs〗_(t-1) indicates that Rupiah rate affected by previous day(t-1) rate and model can be used to forecast the future exchange rate. Keywords: ARIMA model, forecasting


2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Guangfeng Zhang ◽  
Qiong Zhang ◽  
Muhammad Tariq Majeed

Using two measures of private information and high-frequency transaction data from the leading interdealer electronic broking system Reuters D2000-2, we examine the association between exchange rate return and contemporaneous order flow and the predictability power of lagged order flow on the future exchange rate return. Our empirical analysis demonstrates that at high frequency (5, 10, 15, 20, 25, and 30 min) there exists strong positive association between exchange rate returns and contemporaneous order flow. However, the results indicate weak predictability of order flow on the future exchange rate return.


2018 ◽  
Vol 6 (3) ◽  
pp. 68
Author(s):  
Hokuto Ishii

This paper investigates the predictability of exchange rate changes by extracting the factors from the three-, four-, and five-factor model of the relative Nelson–Siegel class. Our empirical analysis shows that the relative spread factors are important for predicting future exchange rate changes, and our extended model improves the model fitting statistically. The regression model based on the three-factor relative Nelson–Siegel model is the superior model of the extended models for three-month-ahead out-of-sample predictions, and the prediction accuracy is statistically significant from the perspective of the Clark and West statistic. For 6- and 12-month-ahead predictions, although the five-factor model is superior to the other models, the prediction accuracy is not statistically significant.


2019 ◽  
Vol 153 ◽  
pp. 260-267
Author(s):  
Tom McDermott ◽  
Paul Collopy ◽  
Molly Nadolski ◽  
Christiaan Paredis

1992 ◽  
Vol 39 (2) ◽  
pp. 129-140 ◽  
Author(s):  
Charles A. E. Goodhart ◽  
Patrick C. McMahon ◽  
Yerima La wan Ngama

2018 ◽  
Vol 45 (2) ◽  
pp. 231-246 ◽  
Author(s):  
Muhammad Ali Nasir ◽  
Justine Simpson

Purpose The purpose of this paper is to analyse the implications of exchange rate depreciation for inflation targeting and trade balance of UK in the context of the Brexit epoch. Design/methodology/approach The study employed a time-varying structural vector auto-regression (TVSVAR) model framework in which the sources of time variation were both the coefficients and variance-covariance matrix of the innovations on the data from January 1989 to September 2016. Findings The findings suggest that the depreciation of the Stirling has significant effects on inflation and trade balance in UK in context of Brexit epoch. It also showed that such a depreciation can be helpful in the improvement of external balance as well as steering the inflation to its statutory target. Despite, the inflation targeting, there is strong evidence of a pass-through. Research limitations/implications Research has profound implications in terms of the sharp depreciation of GBP associated with the Brexit outcome. The study is very topical and could be very interesting to the readership of JES as well as wider audience. The study has limitations in a context that the significance of the results and association of the under analysis entities is contingent on the future trade relationships and Channel between UK and EU. Therefore, although there is a lot of uncertainty about the future of Britain trade relationships, this study provides guidance on the importance of exchange rate channel if the similar trade arrangements prevails in the post-Brexit era. Practical implications The research has profound practical implications, using a TVSVAR model in which the relationship among the entities varies over time; it has shown the importance of exchange rate in terms of external balance and inflation targeting. Hence, it has appeal for the practitioners as well as academics. Social implications The research has great social implications. The Brexit is the biggest political and economic event of this era for UK and EU. There are big questions about the relationship between UK and EU in the post-Brexit epoch as well as questions about the future of the European integration. In this context, this study has shown that how the exchange rate could play an important role for the UK economy when its contemporary trade channels prevail. Concomitantly, it has social implications particularly for the European society. Originality/value The research is an original piece of work. It has contributed to the debate on the exchange rate deprecation, external balance and inflation targeting in context of the Brexit associated sharp depreciation of Stirling. It has used a framework, i.e. TVSVAR, which also have unique features in terms of testing the associations among under analysis entities against time.


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