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Quantitative Risk Management in Agricultural Business
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This open access volume explores the cutting edge of quantitative methods in agricultural risk management and insurance. Composed of insightful articles authored by field experts, focusing on innovation, recent advancements, and the use of technology and data sciences, it bridges the gap between theory and practice through empirical studies, concrete examples and case analyses. Evolving challenges in risk management have called for the development of new, groundbreaking models. Beyond presenting the theoretical foundations of these models, this book discusses their real-world applications, providing tangible insights into how innovative modeling can elevate risk management strategies in the agricultural sector. The latest risk management tools incorporate novel concepts such as index insurance, price index risk management frameworks and risk pools. The practical implications of these approaches are investigated, and their impact on contemporary agricultural risk mitigation and insurance practices is examined. Field experiences illustrate the implementation of these tools and their resulting outcomes. Modern data analysis techniques in agricultural risk and insurance include machine learning, spatial analysis, text analysis, and deep learning. In addition to scrutinizing these ideas, the authors introduce an economic perspective towards risk, highlighting areas that have developed thanks to technological progress. Examples illustrate how these combined methodologies contribute to informed decision-making in agriculture, and their potential benefits and challenges are considered. This carefully compiled volume will be a valuable reference for researchers, practitioners, and students intrigued by the dynamic intersection of agricultural risk management and insurance practices.
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Keywords
- Actuarial Science
- Agricultural Risk Management
- Agriculture Insurance
- deep learning
- Farm Business
- Index Insurance
- Price Index Insurance
- Quantitative Finance
- Risk management
- Risk Pool
- Spacial Analysis
- Statistics and Data Science
- Text Analysis
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPQ Decision theory: general::GPQD Risk assessment
- thema EDItEUR::K Economics, Finance, Business and Management
- thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCA Economic theory and philosophy
- thema EDItEUR::K Economics, Finance, Business and Management::KF Finance and accounting::KFF Finance and the finance industry::KFFN Insurance and actuarial studies
- thema EDItEUR::K Economics, Finance, Business and Management::KJ Business and Management::KJM Management and management techniques
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNA Agribusiness and primary industries
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBT Probability and statistics
Links
DOI: 10.1007/978-3-031-80574-5Editions