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You're reading from  Practical Machine Learning Cookbook

Product typeBook
Published inApr 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781785280511
Edition1st Edition
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Author (1)
Atul Tripathi
Atul Tripathi
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Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
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Pricing reinsurance contracts


The key objectives of an insurer in arranging reinsurance are inter alia; increasing capacity to handle larger risks by passing to the re insurer that part of the exposure which would not normally bear, because of financial constraints; enhancing ability to accept larger lines than capital allows; stabilizing operating results from year to year with the re insurer absorbing larger claims or catastrophe losses; increasing the chances making a profit by reinforcing the underwriter’s attempts to establish an account which is homogeneous in both size and quality of risk; ability to write and new risk exposures. The functions of reinsurance can be considered as providing services to protect increased capacity, financial stability, stabilization of claims ratio, accumulation of claims under different classes, spread of risks, protection of solvency margins and stabilize profits. The reinsurance helps to absorb newer risk exposure arising from economic changes, social...

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Practical Machine Learning Cookbook
Published in: Apr 2017Publisher: PacktISBN-13: 9781785280511

Author (1)

author image
Atul Tripathi

Atul Tripathi has spent more than 11 years in the fields of machine learning and quantitative finance. He has a total of 14 years of experience in software development and research. He has worked on advanced machine learning techniques, such as neural networks and Markov models. While working on these techniques, he has solved problems related to image processing, telecommunications, human speech recognition, and natural language processing. He has also developed tools for text mining using neural networks. In the field of quantitative finance, he has developed models for Value at Risk, Extreme Value Theorem, Option Pricing, and Energy Derivatives using Monte Carlo simulation techniques.
Read more about Atul Tripathi