Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods.
Air Transportation Industry considers the influence of political, legal, economic, social, and technological factors on the developments in the industry.
The financial industry is swamped by credit products whose economic performance is linked to the performance of some underlying portfolio of credit-risky instruments, like loans, bonds, swaps, or asset-backed securities.
Calculus for Business and Economics: An Example-Based Introduction is designed for first-year university students specializing in business and economics.
Innovative Management Science Practices: Bridging Theory and Applied Research delves into the dynamic interplay between theoretical frameworks and practical applications in management.
Filling the void between surveys of the field with relatively light mathematical content and books with a rigorous, formal approach to stochastic integration and probabilistic ideas, Stochastic Financial Models provides a sound introduction to mathematical finance.
Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards.
Although portfolio management didn't change much during the 40 years after the seminal works of Markowitz and Sharpe, the development of risk budgeting techniques marked an important milestone in the deepening of the relationship between risk and asset management.
Calculus for Business and Economics: An Example-Based Introduction is designed for first-year university students specializing in business and economics.
Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims.
Siempre se ha considerado que por más difícil que les parezca a los estudiantes formalizar los modelos econométricos, mayor es el reto del educador de conseguir que esta técnica sea lo más entendible posible, con el objetivo de despertar en ellos el interés por el conocimiento de lo complejo para comprender lo simple.
New Tools to Solve Your Option Pricing ProblemsFor nonlinear PDEs encountered in quantitative finance, advanced probabilistic methods are needed to address dimensionality issues.
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector.
