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Advances in Economic Forecasting
The book's contributors assess the performance of economic forecasting methods, argue that data can be better exploited through model and forecast combination, and advocate for models that are adaptive and perform well in the presence of nonlinearity and structural change.
Capital Structure and Firm Value
Capital Structure decision is one of the crucial decisions to be taken by a company. There are divergent views regarding Capital Structure and Firm Value. There is dearth of studies in the area of Pharma Industry regarding Capital Structure and Firm Value. Therefore, the present study seeks to answer the following questions: what are the factors determining the Capital Structure decision in Pharma sector in India? What is the relationship between select variable and company value? What is the impact of leverage on stock price volatility of Pharma Companies? Period of the study is eleven years from 2005 to 2015. The panel data regression model has been employed. It can be concluded that Debt-...
Introduction to Modern Time Series Analysis
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
