JOURNAL ARTICLE
Analytical View of Pricing Weather and Freight Derivatives: 1950–2020.
Published In: Review of Pacific Basin Financial Markets & Policies, 2023, v. 26, n. 1. P. 1 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Satya Sekhar, G. V. 3 of 3
Abstract
A weather derivative is financial instrument that companies or individuals use to hedge against the risk of weather-related losses. Freight derivatives value is derived from the future levels of freight rates, like a dry bulk-a category of cargo stowed in bulk, consisting of grain, cotton, coal, etc., carrying rates, and oil tanker rates. Numerous empirical studies exist on weather and freight derivatives and their pricing models such as Indifference Pricing Approach, Arbitrage Pricing Model, Financial Pricing model, Benchmark Pricing Approach, Fair Pricing Approach, Actuarial Pricing, Consumer Based Pricing Method, and Index Modeling. This paper aims to address issues relating to the functioning of weather and freight derivatives. This paper also focuses on the studies published on weather and freight derivatives' pricing models during the last seven decades (i.e., 1950–2020). Objectives: (1) To understand the vital issues relating to models of weather and freight derivatives. (2) To compare pricing models of weather and freight derivatives during the last seven decades (i.e., 1950–2020). [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Review of Pacific Basin Financial Markets & Policies. 2023/03, Vol. 26, Issue 1, p1
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2023
- ISSN:0219-0915
- DOI:10.1142/S0219091523300013
- Accession Number:162889557
- Copyright Statement:Copyright of Review of Pacific Basin Financial Markets & Policies is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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