Kansikuva

Computational Finance with R

This book prepares students to execute the quantitative and computational needs of the finance industry. The quantitative methods are explained in detail with examples from real financial problems like option pricing, risk management, portfolio selection, etc. Codes are provided in R programming lan...

Tallennettuna:

Bibliografiset tiedot
Päätekijät:	Sen, Rituparna (Tekijä), Das, Sourish (Tekijä)
Yhteisötekijä:	SpringerLink (Online service)
Aineistotyyppi:	Elektroninen E-kirja
Kieli:	englanti
Julkaistu:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Painos:	1st ed. 2023.
Sarja:	Indian Statistical Institute Series,
Aiheet:	Statistics . Social sciences > Mathematics. Stochastic analysis. Machine learning. Statistics > Computer programs. Statistics in Business, Management, Economics, Finance, Insurance. Mathematics in Business, Economics and Finance. Stochastic Analysis. Statistics. Machine Learning. Statistical Software.
Linkit:	https://doi.org/10.1007/978-981-19-2008-0
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia

AI Assisted Business Analytics Techniques for Reshaping Competitiveness /
Tekijä: Boffa, Joseph
Julkaistu: (2023)

Stochastic Models, Statistics and Their Applications SMSA 2024, Delft, The Netherlands, March 13-15 /
Julkaistu: (2025)

Gaussian Process Models for Quantitative Finance
Tekijä: Ludkovski, Michael, et al.
Julkaistu: (2025)

Time Series Forecasting using Machine Learning Case Studies with R and iForecast /
Tekijä: Ho, Tsung-wu
Julkaistu: (2025)

Practical Biostatistics for Medical and Health Sciences
Tekijä: Saneii, Seyed Hassan, et al.
Julkaistu: (2024)

New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance
Julkaistu: (2025)

Minimum Gamma-Divergence for Regression and Classification Problems
Tekijä: Eguchi, Shinto
Julkaistu: (2025)

Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Selected Contributions from SimStat 2019 and Invited Papers /
Julkaistu: (2023)

Machine Learning Perspectives of Agent-Based Models Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia /
Julkaistu: (2025)

Change Point Analysis for Time Series
Tekijä: Horváth, Lajos, et al.
Julkaistu: (2024)

Essentials of Excel VBA, Python, and R Volume II: Financial Derivatives, Risk Management and Machine Learning /
Tekijä: Lee, John, et al.
Julkaistu: (2023)

Statistical Modelling and Risk Analysis Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 /
Julkaistu: (2023)

Introduction to the Physics of the Economy and Finance
Tekijä: Pires da Cruz, João
Julkaistu: (2025)

Predictive and Simulation Analytics Deeper Insights for Better Business Decisions /
Tekijä: Paczkowski, Walter R.
Julkaistu: (2023)

Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024 /
Julkaistu: (2024)

Hierarchical Archimedean Copulas
Tekijä: Górecki, Jan, et al.
Julkaistu: (2024)

Advanced Portfolio Optimization A Cutting-edge Quantitative Approach /
Tekijä: Cajas, Dany
Julkaistu: (2025)

Fundamentals of Supervised Machine Learning With Applications in Python, R, and Stata /
Tekijä: Cerulli, Giovanni
Julkaistu: (2023)

Quantitative Energy Finance Recent Trends and Developments /
Julkaistu: (2024)

Predictive Analytics with KNIME Analytics for Citizen Data Scientists /
Tekijä: Acito, Frank
Julkaistu: (2023)

Anomalous Stochastics A Comprehensive Guide to Multifractals, Random Walks, and Real-World Applications /
Tekijä: Chorowski, Michał, et al.
Julkaistu: (2025)

Applied Multivariate Statistical Analysis
Tekijä: Härdle, Wolfgang Karl, et al.
Julkaistu: (2024)

Conditional Order Statistics and Conditional Spacings
Tekijä: Zhang, Zhengcheng
Julkaistu: (2025)

Nonlinear Investing: A Quantamental Approach
Tekijä: Ma, Lingjie
Julkaistu: (2025)

Robust and Multivariate Statistical Methods Festschrift in Honor of David E. Tyler /
Julkaistu: (2023)

Applied Statistical Learning With Case Studies in Stata /
Tekijä: Schonlau, Matthias
Julkaistu: (2023)

Business Statistics for Competitive Advantage with Excel and JMP Basics, Model Building, Simulation, and Cases /
Tekijä: Fraser, Cynthia
Julkaistu: (2024)

Applied Calculus with R
Tekijä: Pfaff, Thomas J.
Julkaistu: (2023)

Stochastic Models for Prices Dynamics in Energy and Commodity Markets An Infinite-Dimensional Perspective /
Tekijä: Benth, Fred Espen, et al.
Julkaistu: (2023)

Stochastic Processes and Financial Mathematics
Tekijä: Rüschendorf, Ludger
Julkaistu: (2023)

The Probabilistic Vision of the Physical World A Point of View of Earth Sciences /
Tekijä: Sansò, Fernando, et al.
Julkaistu: (2025)

Selected Payout Products of the Old-Age Pension Saving Scheme
Tekijä: Špirková, Jana, et al.
Julkaistu: (2023)

Data Analytics for Management, Banking and Finance Theories and Application /
Julkaistu: (2023)

Audit Analytics Data Science for the Accounting Profession /
Tekijä: Westland, J. Christopher
Julkaistu: (2024)

Partial Least Squares Path Modeling Basic Concepts, Methodological Issues and Applications /
Julkaistu: (2023)

Bayesian Cost-Effectiveness Analysis with the R package BCEA
Tekijä: Baio, Gianluca, et al.
Julkaistu: (2025)

Advanced Statistical Methods in Process Monitoring, Finance, and Environmental Science Essays in Honour of Wolfgang Schmid /
Julkaistu: (2024)

Regression Graph Models for Categorical Data Parameterization and Inference /
Tekijä: Lupparelli, Monia, et al.
Julkaistu: (2025)

Beyond the T-Test
Tekijä: Pardo, Scott A.
Julkaistu: (2025)

Statistical Learning Tools for Electricity Load Forecasting
Tekijä: Antoniadis, Anestis, et al.
Julkaistu: (2024)