This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of...

I derive the finite-sample bias of the conditional Gaussian maximum likelihood estimator in ARMA models when the error follows some unknown non-normal distribution. The general procedure relies on writing down the score function and its higher order derivative matrices in terms of quadratic...

Modelling and forecasting interval-valued time series (ITS) have received increasing attention in statistics and econometrics. An interval-valued observation contains more information than a point-valued observation in the same time period. The previous literature has mainly considered modelling...

In this chapter, inventory and sales data from a small business with seven showrooms are evaluated to forecast future sales and maximize total profits. In each showroom, three major brands of ceiling fans are sold and a limited amount of products from each brand are displayed. Each showroom...

Based on the 2008 Shaanxi Statistical Yearbook and the relevant data of Shaanxi GDP in the years 1952-2007, SPSS statistical software and time series analysis are used to establish ARIMA (1.2,1) time series model, according to the four steps, recognition rules and stationary test of time series...

В статье предложено использовать метод моделей ARIMA для прогнозирования кумулятивной вероятности дефолта. В ходе проведенных исследований было установлено, что...

This paper has the purpose of testing the expectations hypothesis of the term structure for two corporate bond yields. A new test is developed based on an ARIMA data generation process of the short rate, and on the derivation of a relation between the change in the long rate and revisions of...

Time series forecasting is one of the most important issues in the financial econometrics. In the face of growing interest in models with continuous time, as well as rapid development of methods of their estimation, we try to use the diffusion models to modeling and forecasting time series from...

The objective of this study is to examine whether the notion of monetary neutrality holds in Malaysian stock market. Our findings indicate that there is considerable evidence against the long-run neutrality (LRN) of money in Malaysian stock market. The important implication is that the stock...