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IvyDB Beta

Assess Systematic Risk, Returns in Equity Trading with the Industry’s First Implied Beta Dataset

Due to growth in options trading over the last two decades, there is a great deal of information that can be gleaned on equities by looking at options data. IvyDB Beta offers an extensive range of implied beta data from the options market for the top 500 SPY constituents and market capitalization single-name U.S. securities, dating back to January 2007. IvyDB Beta is an essential tool for factor investing; low vol strategies, equity long/short or market neutral strategies, stat/arb pairs trading in equities investing. By leveraging IvyDB Beta, investors can gain deeper insights into the options market's perception of future systematic risk, enabling more informed decisions when forecasting risk and return across equities.

A More Precise, Predictive Measure of Beta in Equities

Greater Accuracy

The Capital Asset Pricing Model (CAPM) is widely used today by financial professionals for valuing securities and evaluating expected returns. However, this model has drawbacks. It relies on historical beta, which can be retrospective and slow to adapt to new information. In contrast, OptionMetrics' IvyDB Beta utilizes implied betas, which are forward-looking. This unique characteristic enables a more accurate assessment of systematic risk, particularly during events such as earnings releases, FOMC meetings, and other macroeconomic announcements.

The Latest News & Events

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OptionMetrics IvyDB Implied Dividend Data Product Projects US Security Implied Dividends Two Years into Future Using Options Sentiment

OptionMetrics is pleased to announce the release of IvyDB Implied Dividend. This new dataset uses options pricing data to provide forward-looking dividend projections for optionable single-name securities in the US, two years into the future. This forward looking dividend data ...

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Futures: Not All Price Series Are the Same!

Not all continuous futures prices series are the same. Depending on how they are constructed, misleading analysis may result. In this month’s blog, Brett Friedman reviews different price curve method. Read Full Blog Here    

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Stock Options Perspective with Garrett DeSimone, PhD

OptionMetrics' Head Quant Garrett DeSimone is featured on The Quant/Financial Engineering Podcast with Professor Zoro of Lehigh University discussing tail hedging, out-of-the-money puts, fat tails, and long-term options. Listen to Podcast Here.

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