Standard

On forecast of exchange rate of a foreign currency. / Prasolov, AV; Wei, KC.

PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS. IEEE Canada, 2000. стр. 14-19.

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Prasolov, AV & Wei, KC 2000, On forecast of exchange rate of a foreign currency. в PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS. IEEE Canada, стр. 14-19, Joint 2000 Conference on Control Applications and Computer-Aided Control Systems Design Symposium, ANCHORAGE, 25/09/00. https://doi.org/10.1109/CCA.2000.897392

APA

Prasolov, AV., & Wei, KC. (2000). On forecast of exchange rate of a foreign currency. в PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS (стр. 14-19). IEEE Canada. https://doi.org/10.1109/CCA.2000.897392

Vancouver

Prasolov AV, Wei KC. On forecast of exchange rate of a foreign currency. в PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS. IEEE Canada. 2000. стр. 14-19 https://doi.org/10.1109/CCA.2000.897392

Author

Prasolov, AV ; Wei, KC. / On forecast of exchange rate of a foreign currency. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS. IEEE Canada, 2000. стр. 14-19

BibTeX

@inproceedings{6c3adb0fab2146ac9929461d915418b5,
title = "On forecast of exchange rate of a foreign currency",
abstract = "This paper summarizes research on methods for forecasting the exchange rate of Italian Lire, British Pounds and Germany Marks in US Dollars. Different calculus procedures and forecast quality criteria were analyzed based on numerical data for the last two decades. Several methods, including time-series methods and a common correlation method, were developed to forecast exchange rates. Two quality criteria, future price criterion (FPC) and risk charge criterion (RCC), were formulated to measure the accuracy of the forecasting methods. The analysis showed that the FPC criterion alone could not effectively determine the best method because all optimal values were very close. The second criterion, RCC, was more complicated but gave more information about the methods and the data. Based on the RCC criterion, a better forecast was achieved using the optimal length of identification interval. The associated risk premium charge was also obtained. The Common Correlation Method was found to be the best method with the identification interval length equal to 72-months for all currencies being considered. This method can be used as an analytical tool in estimating the risk involved and associated premium charges when negotiating a forward contract of foreign currencies.",
author = "AV Prasolov and KC Wei",
year = "2000",
doi = "10.1109/CCA.2000.897392",
language = "Английский",
isbn = "0-7803-6563-1",
pages = "14--19",
booktitle = "PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS",
publisher = "IEEE Canada",
address = "Канада",
note = "null ; Conference date: 25-09-2000 Through 27-09-2000",

}

RIS

TY - GEN

T1 - On forecast of exchange rate of a foreign currency

AU - Prasolov, AV

AU - Wei, KC

PY - 2000

Y1 - 2000

N2 - This paper summarizes research on methods for forecasting the exchange rate of Italian Lire, British Pounds and Germany Marks in US Dollars. Different calculus procedures and forecast quality criteria were analyzed based on numerical data for the last two decades. Several methods, including time-series methods and a common correlation method, were developed to forecast exchange rates. Two quality criteria, future price criterion (FPC) and risk charge criterion (RCC), were formulated to measure the accuracy of the forecasting methods. The analysis showed that the FPC criterion alone could not effectively determine the best method because all optimal values were very close. The second criterion, RCC, was more complicated but gave more information about the methods and the data. Based on the RCC criterion, a better forecast was achieved using the optimal length of identification interval. The associated risk premium charge was also obtained. The Common Correlation Method was found to be the best method with the identification interval length equal to 72-months for all currencies being considered. This method can be used as an analytical tool in estimating the risk involved and associated premium charges when negotiating a forward contract of foreign currencies.

AB - This paper summarizes research on methods for forecasting the exchange rate of Italian Lire, British Pounds and Germany Marks in US Dollars. Different calculus procedures and forecast quality criteria were analyzed based on numerical data for the last two decades. Several methods, including time-series methods and a common correlation method, were developed to forecast exchange rates. Two quality criteria, future price criterion (FPC) and risk charge criterion (RCC), were formulated to measure the accuracy of the forecasting methods. The analysis showed that the FPC criterion alone could not effectively determine the best method because all optimal values were very close. The second criterion, RCC, was more complicated but gave more information about the methods and the data. Based on the RCC criterion, a better forecast was achieved using the optimal length of identification interval. The associated risk premium charge was also obtained. The Common Correlation Method was found to be the best method with the identification interval length equal to 72-months for all currencies being considered. This method can be used as an analytical tool in estimating the risk involved and associated premium charges when negotiating a forward contract of foreign currencies.

U2 - 10.1109/CCA.2000.897392

DO - 10.1109/CCA.2000.897392

M3 - статья в сборнике материалов конференции

SN - 0-7803-6563-1

SP - 14

EP - 19

BT - PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL CONFERENCE ON CONTROL APPLICATIONS

PB - IEEE Canada

Y2 - 25 September 2000 through 27 September 2000

ER -

ID: 4444615