Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Predicting trends in future foreign exchange market prices.
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Valentinas Civinskas
ISBN: 9783659535901
Год издания: 2016
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 60
Издательство: LAP LAMBERT Academic Publishing
Цена: 24982 тг
Положить в корзину
Позиции в рубрикаторе
Сферы деятельности:Код товара: 155003
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: This book examines whether the use of charts and technical analysis is effective to determine trends in future foreign exchange market prices. In the first part of analysis, the U.S. / U.K. Foreign Exchange Daily Spot Rates were processed using STATA. Then the moving average trading rule was applied for the three sub-periods, from 1980 to 2015. It was concluded that in periods with more extreme values and fluctuations (higher kurtosis) longer moving average rule is the best option, while conversely, in periods with lower kurtosis the shorter moving average rule should be considered. Moreover, in the absence of transaction costs or risk adjustments, the cumulative average return of the strategies, among all of the trading rules was considerably positive for the period 1980-1990. While the moving average technique remained positive, it was closer to zero for the other two sample periods from 1990 to 2000 and for the more recent one, 2005-2015. In addition, head and shoulders chart pattern was analysed in this book and came up to be ineffective for trading in foreign exchange market.
Ключевые слова: currency, Foreign Exchange Market, Forex, investment, Money, predict, Profit, technical analysis, Trading