发帖
雷达卡
by Wing-Keung Wong (Editor), Xu Guo (Editor), Sergio Ortobelli Lozza (Editor)
About this Book
Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the analysis of empirical, real-world data. For example, mathematics, probability, and statistics could help to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
Brief Contents
- Editorial Statement for Mathematical Finance
- An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management
- Comparison of Financial Models for Stock Price Prediction
- Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications
- The Investment Home Bias with Peer Effect
- Equity Option Pricing with Systematic and Idiosyncratic Volatility and Jump Risks
- CVaR Regression Based on the Relation between CVaR and Mixed-Quantile Quadrangles
- Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas
- Friendship of Stock Market Indices: A Cluster-Based Investigation of Stock Markets
- Capital Structure and Firm Performance in Australian Service Sector Firms: A Panel Data Analysis
- Examination and Modification of Multi-Factor Model in Explaining Stock Excess Return with Hybrid Approach in Empirical Study of Chinese Stock Market
Publisher : Mdpi AG (December 7, 2020)
Language : English
Pages : 232
ISBN-10 : 3039435736
ISBN-13 : 978-3039435739
MDPI__Mathematica Finance with Applications.pdf
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