Abstract: Derivatives Metrics

Derivatives are financial instruments whose value is derived from an underlying asset, such as stocks, commodities, currencies, or cryptocurrencies1 2 3. They are widely used for purposes such as hedging (protecting against price fluctuations to reduce risk exposure)4 5, speculation (seeking higher returns by taking on greater risk)6 7, leverage (enabling larger positions with less capital, thereby increasing risk exposure)1, and arbitrage (exploiting price discrepancies between markets to earn profit with minimal risk)8. The dynamics of these contracts and the way they are traded by market participants can influence the prices of the underlying assets and reveal expectations about future price movements9 10. In this context, derivatives metrics emerge as essential analytical tools. Indicators such as open interest, funding rate, long/short ratio, and put/call ratio provide meaningful insights into market participants’ positions, prevailing sentiment, and potential price movements11 12. This document explores the role of these metrics in understanding derivatives behavior and their application in strategic decision-making.


  1. Tahi, S., & El Farissi, I. (2023). Credit derivatives: Main concepts and pricing. International Journal of Economics, Finance and Management Sciences, 6(11).

  2. Liang, H. (2025). Application of Machine Learning in the Pricing of Derivative Financial Instruments. Advances in Economics, Management and Political Sciences,176,48-56.

  3. Klementiev, Aleksey. (2025). Over-the-counter swap contract: from legal qualification to case law on derivative financial instruments. Vestnik Tomskogo gosudarstvennogo universiteta. Pravo. 108-121. 10.17223/22253513/55/9.

  4. Liu, F., Packham, N., Lu, M. J., & Härdle, W. K. (2023). Hedging cryptos with Bitcoin futures. Quantitative Finance, 23(5), 819–841.

  5. Judge, A. (2002). Hedging and the Use of Derivatives: Evidence from UK Non-Financial Firms.

  6. Shi, C. (2023). Application and Evaluation of Valuation Methods of Volatility Derivatives. Advances in Economics, Management and Political Sciences,42,236-241.

  7. Setiawan, H., Bhaduri, M. Spotting the stock and crypto markets’ rings of fire: measuring change proximities among spillover dependencies within inter and intra-market asset classes. Appl Netw Sci 8, 61 (2023).

  8. Giagkiozis, I., & Said, E. (2024). Reconciling Open Interest with Traded Volume in Perpetual Swaps. Ledger, 9.

  9. Plastun, A., Khomutenko, L., & Bashlai, S. (2022). Is There Any Witching in the Cryptocurrency Market? Journal of Risk and Financial Management, 15(2), 92.

  10. Olivares, P. (2020). Pricing Bitcoin Derivatives under Jump-Diffusion Models. arXiv preprint, arXiv:2002.07117.

  11. Ganguly, S. (2015). VIX and Volatility Derivatives: A Survey of Relevant Financial Instruments and Pricing Models.

  12. Sroka, I., & Seliga, K. (2024). Financial instruments and investment strategies based on volatility – proprietary strategies and market-neutral financial products. Studia i Materiały Wydział Zarządzania Uniwersytet Warszawski, 2021(1), 175-195.


Table of contents