The Scientific World Journal

Probability and Statistics with Applications in Finance and Economics


Status
Published

Lead Editor

1Department of Economics, Hong Kong Baptist University, Hong Kong

2Department of Economics, University of Sheffield, 9 Mappin Street, Sheffield, UK

3Department of Economics, The Chinese University of Hong Kong, Hong Kong

4Department of Quantitative Methods and Information Sciences, Indian Institute of Management, Bangalore Bannerghatta Road, Bangalore 560076, India

5Department of Economics, Boston College, Chestnut Hill, MA 02467, USA


Probability and Statistics with Applications in Finance and Economics

Description

Probability and statistics play a vital role in every field of human activity. In particular, they are quantitative tools widely used in the areas of economics and finance. Knowledge of modern probability and statistics is essential to develop economic and finance theories and test their validity through the analysis of empirical real-world data. For example, probability and statistics could help to form effective monetary and fiscal policies and to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.

This special issue of probability and statistics will be devoted to advancements in the applications of probability and statistics in the areas of economics and finance. It will bring together practical, state-of-the-art applications of probability and statistical techniques in economics and finance.

We invite investigators to contribute original research articles as well as review articles that advance the use of probability and statistics in the areas of economics and finance. All submissions must contain original unpublished work not being considered for publication elsewhere. Potential topics include, but are not limited to:

  • Econometric and computational models for risk and correlation analysis
  • Asset pricing and factor models
  • Portfolio optimization
  • Derivatives valuation techniques
  • Credit risk and credit rating
  • Numerical and statistical approximation of stochastic differential equations with applications in finance
  • Automated trading systems
  • Statistical arbitrage
  • Financial applications of computational intelligent (neural, fuzzy, or evolutionary) methods
  • Behavioral economics and behavioral finance
  • Estimation and forecasting of financial time series

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/probability.statistics/pafe/ according to the following timetable:

The Scientific World Journal
 Journal metrics
Acceptance rate23%
Submission to final decision56 days
Acceptance to publication59 days
CiteScore1.430
Impact Factor-
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