Volume 20 No 7 (2022)
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MATHEMATICAL FINANCE: MODELING AND RISK MANAGEMENT
Akanksha Dubey, Sandeep Jadhav
Abstract
Mathematical models are essential tools in finance for analyzing risk, pricing securities, and making informed investment decisions. This paper provides a comprehensive overview of the role of mathematical models in finance, focusing on modeling techniques, risk management strategies, and their impact on financial decision-making. The paper discusses the application of stochastic calculus, Monte Carlo simulation, and time series analysis in finance, highlighting their importance in portfolio management and risk assessment. It also examines the challenges in implementing mathematical models, such as model risk and data quality issues, and explores future trends in mathematical finance, including the potential impact of emerging technologies like blockchain and artificial intelligence. By synthesizing insights from various research papers, this paper aims to contribute to a better understanding of the evolving field of mathematical finance and its implications for financial practitioners and academics.
Keywords
Mathematical models, finance, risk management, portfolio management, stochastic calculus, Monte Carlo simulation, time series analysis, model risk, blockchain, artificial intelligence.
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