This is the first paper that estimates the price determinants of Bitcoin in a generalized autoregressive conditional heteroscedasticity (GARCH) framework using high-frequency data.
This paper concerns the application of implied volatility in modeling realized volatility in the daily, weekly and monthly horizon using high-frequency data for the EUR/GBP exchange rate.
Fears of moral hazard after CCP waives billions in margin demands following meme-stock volatility
Some of the trickiest puzzles in finance could be solved by blending old and new technologies
‘Rough volatility’ models promise better pricing and hedging of options. But will they catch on?
Investors should switch between factors as alphas change, says quant
In the most realistic simulations, data-driven approach fared 30% worse than conventional hedging
The SABR model for volatility is adapted to price risk-free rate caplets
This paper analyzes the relationship between option risk and expected return from the perspective of the underlying beta, and estimates the degree of correlation.
Copulas can still deliver if chosen with due attention to intuition and data, says quant fund chair
Volatility products could see more wild swings as dearth of vol sellers exacerbates spikes
Risk Awards 2021: changes to options strikes helped CME avoid major mishaps in volatile 2020
Risk Awards 2021: bank avoided tech snags and margin call surprises that plagued peers during crisis
Risk Awards 2021: clearer’s Prisma margin model proves its mettle in year of market tumult
Technologist talks artificial intelligence, angel investing and accidentally contributing to the Basel framework
Risk Awards 2021: rough volatility models could make the options market more efficient
The authors explore the effects of market capitalization on the dynamics of cryptocurrencies within both returns and volatility networks and show that these cryptocurrencies exhibit scaling properties in volatility with respect to market capitalization.
A growing field of mathematical research could help us understand correlation fluctuations, says quant expert
A solution for a no-arbitrage condition in Cheyette-style models is proposed
Even before the tumultuous events of 2020, many wealthy family investors across Asia were becoming more careful with their investments – wary that the longest bull market in history had to end sometime. Their prudence proved well judged when storm clouds…
Volatility and machine learning were among the top research areas for quants this year
The authors analyze the role of monetary policy uncertainty in predicting jumps in nine advanced equity markets.
Better calibration would cut equity options exposures in half, research finds
M&A revival breathes life into deal contingent trades, but elevated risk keeps prices high