Results 41 to 50 of about 116,461 (347)

Investors’ net buying pressure and implied volatility dynamics

open access: yesBorsa Istanbul Review, 2022
This study reexamines the influence of different investor types' net options demand on the KOSPI200 options-implied volatility dynamics. We extend Bollen and Whaley (2004) by accounting for options traders' hedging demand for futures contracts, intraday ...
Doojin Ryu   +3 more
doaj   +1 more source

Maturity cycles in implied volatility [PDF]

open access: yesFinance and Stochastics, 2004
The purpose of the paper is to study the performance of the observed implied volatility surface \(I\) that is reduced to an affine function of the log-moneyness-to-maturity ratio (LMMR) of the form \[ I = a\times \text{LMMR} + b,\qquad \text{LMMR} = \frac{\log(K/S)}{T-t}, \] where \(K\) is the strike price, \(T\) is the expiration date, and \(S\) is ...
George Papanicolaou   +3 more
openaire   +2 more sources

A guide to reactive oxygen species in tumour hypoxia: measurement and therapeutic implications

open access: yesMolecular Oncology, EarlyView.
Hypoxia reshapes tumour redox landscapes by altering compartmental ROS production (mitochondria, NOX, ER, peroxisomes). Accurate interpretation requires oxygen‐contextualised measurement (live biosensors, chemical probes, EPR, LC–MS) and awareness of artefacts (reoxygenation, probe specificity).
Lina Hacker   +3 more
wiley   +1 more source

Impact of a senior research thesis on students' perceptions of scientific inquiry in distinct student populations

open access: yesFEBS Open Bio, EarlyView.
This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart   +4 more
wiley   +1 more source

The exact Taylor formula of the implied volatility [PDF]

open access: yesFinance and Stochastics, 2016
In a model driven by a multi-dimensional local diffusion, we study the behavior of implied volatility and its derivatives with respect to log-strike k and maturity T near expiry and at the money. We recover explicit limits of these derivatives for (T,k) approaching the origin within the parabolic region |x-k|^2 < T, with x denoting the spot ...
Pagliarani, Stefano, PASCUCCI, ANDREA
openaire   +7 more sources

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

open access: yesAdvanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed   +3 more
wiley   +1 more source

Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices

open access: yesStats, 2023
In this paper, we conducted an empirical investigation of the realized volatility of cryptocurrencies using an econometric approach. This work’s two main characteristics are: (i) the realized volatility to be forecast filters jumps, and (ii) the benefit ...
Julien Chevallier, Bilel Sanhaji
doaj   +1 more source

Convergence of Heston to SVI

open access: yes, 2010
In this short note, we prove by an appropriate change of variables that the SVI implied volatility parameterization presented in Gatheral's book and the large-time asymptotic of the Heston implied volatility agree algebraically, thus confirming a ...
Gatheral, Jim, Jacquier, Antoine
core   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

Machine Learning to Compute Implied Volatility from European/American Options Considering Dividend Yield

open access: yesProceedings, 2020
Computing implied volatility from observed option prices is a frequent and challenging task in finance, even more in the presence of dividends. In this work, we employ a data-driven machine learning approach to determine the Black–Scholes implied ...
Shuaiqiang Liu   +3 more
doaj   +1 more source

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