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Results for “crack” · papers 5 · wiki 3
Academic Papers · 5arXiv q-fin live 5 · desk corpus 1
arXiv · arXiv q-fin · 2024

Cracking the code: Lessons from 15 years of digital health IPOs for the era of AI

Introduction: As digital health evolves, identifying factors that drive success is crucial. This study examines how reimbursement billing codes affect the long-term financial performance of digital health companies on U.S. stock markets, addressing the question: What separates the winners from the rest? Methods: We analyzed digital health companies that went public on U.S. stock exchanges between 2010 and 2021, offer

Tamen Jadad-Garcia, Alejandro R. Jadad
arXiv · arXiv q-fin · 2026

Pricing options on illiquid assets using liquid market benchmarks: an application to energy markets

The Gasoil options market is illiquid, making it difficult to construct its implied volatility surface directly. However, it is closely linked to the highly liquid Brent options market. In this paper, we jointly model Brent and Gasoil futures prices through a correlated Bachelier local volatility model: the Brent factor is described by a normal mixture diffusion model, while the Gasoil-Brent spot volatility spread is

Federico Aluigi, Lucia Caramellino, Paolo Pigato, Edoardo Scrima
arXiv · arXiv q-fin · 2026

Beyond Lognormal Sums: A Four-Moment Probability Framework for Basket and Spread Option Pricing

Basket options are difficult to value under correlated lognormal dynamics because weighted sums and differences of lognormal variables have no tractable distribution. This paper develops a probability-based four-moment framework that separates the exact pricing representation from the distributional approximation. A change of measure first writes a basket price as a linear combination of probabilities. For a standard

Dongdong Hu, Hasanjan Sayit, Steve Tchoneteck, Frederi Viens
arXiv · arXiv q-fin · 2004

Stock Price Clustering and Discreteness: The "Compass Rose" and Predictability

In this letter we investigate the information provided by the "compass rose" (Crack, T.F. and Ledoit, O. (1996), Journal of Finance, 51(2), pg. 751-762) patterns revealed in phase portraits of daily stock returns. It has been initially suggested that the compass rose is just a manifestation of price clustering and discreteness and the tick size, factors that can affect the unbiasedness of an array of statistical test

Constantinos E. Vorlow
arXiv · arXiv q-fin · 2004

Price Clustering and Discreteness: Is there Chaos behind the Noise?

We investigate the "compass rose" (Crack, T.F. and Ledoit, O. (1996), Journal of Finance, 51(2), pg. 751-762) patterns revealed in phase portraits (delay plots) of stock returns. The structures observed in these diagrams have been attributed mainly to price clustering and discreteness. Using wavelet based denoising, we examine the noise-free versions of a set of FTSE100 stock returns time series. We reveal evidence o

Antonios Antoniou, Constantinos E. Vorlow
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