SEBI Proposes Overhaul of Options Order-to-Trade Ratio Calculation

SEBIEXCHANGE
Whalesbook Logo
AuthorWhalesbook News Team|Published at:
SEBI Proposes Overhaul of Options Order-to-Trade Ratio Calculation
Overview

The Securities and Exchange Board of India (SEBI) is planning to change how the Order-to-Trade Ratio (OTR) is calculated for options trading. The new method will focus on option premiums rather than strike prices and last traded prices. Orders will count towards OTR if they deviate by more than 40% of the option premium or ₹20, whichever is higher. This aims to improve scrutiny for liquid contracts and has also led to proposals for increased penalties for OTR breaches.

The Securities and Exchange Board of India (SEBI) is revising its methodology for calculating the Order-to-Trade Ratio (OTR) specifically for options contracts. Currently, OTR calculations are linked to strike prices and the last traded price (LTP). The proposed shift is towards a premium-based approach, where only orders significantly deviating from the option's premium will be factored into the OTR. Specifically, orders falling outside a 40% band around the option premium, or a minimum of ₹20 (whichever is greater), will be counted. This change is expected to enhance regulatory oversight on high-volume, high-premium option contracts while providing more leniency for less liquid or low-premium contracts.

Previously, SEBI considered linking OTR to a percentage of the last traded price, but this faced industry pushback due to concerns about inflating OTR counts for low-premium contracts. The regulator also explored using theoretical prices (like Black-Scholes models) for untraded contracts but decided against it due to complexity and transparency issues. The revised proposal, which aims to discourage bulk orders that can distort market prices or strain exchange systems, will undergo further review by industry committees. Additionally, SEBI plans to significantly increase penalty slabs for OTR breaches, making violations more costly for algorithmic trading members.

Impact:
This regulatory revision will directly impact algorithmic trading strategies, particularly those involved in options markets. It aims to create a fairer trading environment by reducing potential market manipulation and improving system efficiency. Investors can expect tighter control over certain trading activities, potentially leading to more stable pricing in liquid option contracts.
Rating: 7/10

Definitions:
Order-to-Trade Ratio (OTR): A metric used by regulators to measure the number of trading orders submitted (including modifications and cancellations) against the actual number of trades executed by a trading member over a period. It helps identify excessive order submission that doesn't result in trades.
Algorithmic Trading Member: A trading member that uses automated, pre-programmed trading instructions (algorithms) to execute trades on financial markets.
Option Premium: The price paid by the buyer of an option contract to the seller for the right to buy or sell an underlying asset at a specified price.
Strike Price: The predetermined price at which an option contract holder can buy or sell the underlying asset.
Last Traded Price (LTP): The price at which the last trade for a particular security or contract was executed.
Market Makers: Participants who are obligated to provide continuous bid and ask quotes for securities or contracts to ensure liquidity and facilitate trading.
Black-Scholes model: A mathematical model used for pricing options, which takes into account factors such as the underlying asset's price, strike price, time to expiration, volatility, and risk-free interest rate.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.