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Asymmetric information modelling in the realized spread: A new simple estimation of the informed realized Spread

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  • Saleemi, Jawad

Abstract

The market liquidity plays an authoritative role in the execution of financial transaction. Since the liquidity has immediate impact on the trading, the liquidity risk has been gaining a huge attention in the asset pricing, corporate financing, and risk portfolio management. The bid-ask spread is often reported a significant indicator of the market liquidity and its associated cost in the financial market. This work proposes a new estimation of the bid-ask spread, namely the Informed Realized Spread (IRS). The IRS method is a modified version of the Realized Spread (RS), which exclusively illustrates the asymmetric information effects on the spread size. Despite differences behind the construction of spread proxies, the IRS model is found to be positive and strongly correlated with the RS model. The IRS method is straightforward, computationally less-intensive, and suitable for variety of research in the asset pricing studies.

Suggested Citation

  • Saleemi, Jawad, 2022. "Asymmetric information modelling in the realized spread: A new simple estimation of the informed realized Spread," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(1), pages 1-12.
    • Handle: RePEc:zbw:espost:261367
    DOI: 10.46503/JQYH3943
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    References listed on IDEAS

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    2. Berkman, Henk & Brailsford, Tim & Frino, Alex, 2005. "A note on execution costs for stock index futures: Information versus liquidity effects," Journal of Banking & Finance, Elsevier, vol. 29(3), pages 565-577, March.
    3. Farshid Abdi & Angelo Ranaldo, 2017. "A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices," The Review of Financial Studies, Society for Financial Studies, vol. 30(12), pages 4437-4480.
    4. Ho, Thomas & Stoll, Hans R., 1981. "Optimal dealer pricing under transactions and return uncertainty," Journal of Financial Economics, Elsevier, vol. 9(1), pages 47-73, March.
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