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Indexation and Causation of Financial Markets

Name: Indexation and Causation of Financial Markets
Brand: Springer Verlag, Japan
SKU: 05339358
Price: 54.04 EUR
Availability: InStock
Author: Yoko Tanokura
ISBN: 9784431552758

Nonstationary Time Series Analysis Method

Yoko Tanokura

Genshiro Kitagawa

Език

Английски език

Книга С меки корици

Код Либристо: 05339358

Издателство Springer Verlag, Japan, януари 2016

This book presents a new statistical method of constructing a price index of a financial asset where... Цялото описание

Код Либристо: 05339358

132 b

54.04 €

105.69 лв

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This book presents a new statistical method of constructing a price index of a financial asset where the price distributions are skewed and heavy-tailed and investigates the effectiveness of the method. In order to fully reflect the movements of prices or returns on a financial asset, the index should reflect their distributions. However, they are often heavy-tailed and possibly skewed, and identifying them directly is not easy. This book first develops an index construction method depending on the price distributions, by using nonstationary time series analysis. Firstly, the long-term trend of the distributions of the optimal Box Cox transformed prices is estimated by fitting a trend model with time-varying observation noises. By applying state space modeling, the estimation is performed and missing observations are automatically interpolated. Finally, the index is defined by taking the inverse Box Cox transformation of the optimal long-term trend. This book applies the method to various financial data. For example, applying it to the sovereign credit default swap market where the number of observations varies over time due to the immaturity, the spillover effects of the financial crisis are detected by using the power contribution analysis measuring the information flows between indices. The investigations show that applying this method to the markets with insufficient information such as fast-growing or immature markets can be effective.