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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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0111 · Aug 202019922001200920172026
2 results for log-modulated

New rough stochastic volatility models using log-modulated fractional Brownian motion.

problem Analyzing rough stochastic volatility models over the range 0H<1/20 \le H < 1/2.
method Introducing log-modulated fractional Brownian motion (log-fBm) to handle H=0H = 0 and analyze over the full range.
result Obtained skew asymptotics of log(1/T)pTH1/2\log(1/T)^{-p} T^{H-1/2} as To0T o 0 for H0H \ge 0, no flattening of skew as Ho0H o 0.

Study provides LDP for non self-similar stochastic volatility models.

problem Analyzing non self-similar stochastic volatility models.
method Short-time large deviation principle (LDP) for models with Volterra process.
result Derives consequences for option prices, implied volatility surfaces, and skew.