Quantitative Finance

Papers
(The TQCC of Quantitative Finance is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-07-01 to 2024-07-01.)
ArticleCitations
Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models49
Investing with cryptocurrencies – evaluating their potential for portfolio allocation strategies48
Multilayer information spillover networks: measuring interconnectedness of financial institutions47
Bitcoin, currencies, and fragility36
Volatility has to be rough35
When the blockchain does not block: on hackings and uncertainty in the cryptocurrency market33
Jumps and oil futures volatility forecasting: a new insight31
Deep neural network framework based on backward stochastic differential equations for pricing and hedging American options in high dimensions28
Generative adversarial networks for financial trading strategies fine-tuning and combination28
Cryptocurrency liquidity during extreme price movements: is there a problem with virtual money?27
Price discovery and spillover dynamics in the Chinese stock index futures market: a natural experiment on trading volume restriction24
Implied volatility directional forecasting: a machine learning approach24
Volatility is (mostly) path-dependent21
An investigation of cryptocurrency data: the market that never sleeps19
State-dependent Hawkes processes and their application to limit order book modelling19
Optimal investment strategy in the family of 4/2 stochastic volatility models18
Equal risk pricing of derivatives with deep hedging18
G-expected utility maximization with ambiguous equicorrelation16
Forecasting with fractional Brownian motion: a financial perspective15
XVA analysis from the balance sheet15
A practical guide to robust portfolio optimization15
Empirical analysis of rough and classical stochastic volatility models to the SPX and VIX markets14
Optimal trade execution for Gaussian signals with power-law resilience13
Option hedging using LSTM-RNN: an empirical analysis12
Multivariate continuous-time modeling of wind indexes and hedging of wind risk12
Pricing American options by exercise rate optimization12
Joint effects of the liability network and portfolio overlapping on systemic financial risk: contagion and rescue12
A Markov chain approximation scheme for option pricing under skew diffusions11
A cost-effective approach to portfolio construction with range-based risk measures11
Mean–variance portfolio selection under partial information with drift uncertainty11
Empirical deep hedging10
How to build a cross-impact model from first principles: theoretical requirements and empirical results10
Unveiling the relation between herding and liquidity with trader lead-lag networks10
Uncertainty shocks of Trump election in an interval model of stock market10
Active and passive portfolio management with latent factors10
A functional analysis approach to the static replication of European options9
Backtesting expected shortfall and beyond9
Quantitative statistical robustness for tail-dependent law invariant risk measures9
Optimal portfolio allocation and asset centrality revisited9
Explicit option valuation in the exponential NIG model9
From quadratic Hawkes processes to super-Heston rough volatility models with Zumbach effect9
Neural network-based automatic factor construction9
Optimal asset allocation for outperforming a stochastic benchmark target9
Refinement by reducing and reusing random numbers of the Hybrid scheme for Brownian semistationary processes9
Bitcoin: jumps, convenience yields, and option prices9
Algorithmic market making for options9
Scale-, time- and asset-dependence of Hawkes process estimates on high frequency price changes9
A data-driven explainable case-based reasoning approach for financial risk detection8
Dynamic patterns of daily lead-lag networks in stock markets8
Effects of a government subsidy and labor flexibility on portfolio selection and retirement8
Rough volatility and CGMY jumps with a finite history and the Rough Heston model – small-time asymptotics in the regime8
Cross-impact of order flow imbalance in equity markets8
Robust deep hedging8
A note on - vs. -expected loss portfolio constraints8
Estimation risk and the implicit value of index-tracking8
Additive normal tempered stable processes for equity derivatives and power-law scaling8
Stock market prediction based on adaptive training algorithm in machine learning8
Short-dated smile under rough volatility: asymptotics and numerics8
Graph theoretical representations of equity indices and their centrality measures7
Integrating prediction in mean-variance portfolio optimization7
The Hull–White model under volatility uncertainty7
Design of adaptive Elman networks for credit risk assessment7
Why has the equal weight portfolio underperformed and what can we do about it?7
Time-varying parameters realized GARCH models for tracking attenuation bias in volatility dynamics7
What is the value of the cross-sectional approach to deep reinforcement learning?7
Identifying the influential factors of commodity futures prices through a new text mining approach7
Sparse index clones via the sorted ℓ1-Norm7
The SINC way: a fast and accurate approach to Fourier pricing6
Speed-up credit exposure calculations for pricing and risk management6
The impact of options introduction on the volatility of the underlying equities: evidence from the Chinese stock markets6
Kelly investing with downside risk control in a regime-switching market6
Can heterogeneous agent models explain the alleged mispricing of the S&P 500?6
Forecasting crude oil prices: do technical indicators need economic constraints?6
Liquidity fluctuations and the latent dynamics of price impact6
Distributionally robust portfolio optimization with linearized STARR performance measure6
Forecasting interval-valued crude oil prices using asymmetric interval models6
Markovian approximations of stochastic Volterra equations with the fractional kernel6
A fast algorithm for simulation of rough volatility models6
Are missing values important for earnings forecasts? A machine learning perspective6
The performance of venture capital investments: failure risk, valuation uncertainty & venture characteristics6
Equal risk pricing and hedging of financial derivatives with convex risk measures6
Drawdown beta and portfolio optimization6
A two-step framework for arbitrage-free prediction of the implied volatility surface6
Incorporating financial news for forecasting Bitcoin prices based on long short-term memory networks6
A statistical test of market efficiency based on information theory6
Tail risks in large portfolio selection: penalized quantile and expectile minimum deviation models6
Pairs trading under delayed cointegration6
Artificial neural network for option pricing with and without asymptotic correction6
Valuation of non-negative equity guarantees, considering contagion risk for house prices under the HJM interest rate model5
Modeling and solving portfolio selection problems based on PVaR5
Deep learning-based least squares forward-backward stochastic differential equation solver for high-dimensional derivative pricing5
Rating frailty, Bayesian updates, and portfolio credit risk analysis*5
Stationary increments reverting to a Tempered Fractional Lévy Process (TFLP)5
On detecting spoofing strategies in high-frequency trading5
AI-driven liquidity provision in OTC financial markets5
Improvements in estimating the probability of informed trading models5
Horizon effect on optimal retirement decision5
Martingale transport with homogeneous stock movements5
Estimating large losses in insurance analytics and operational risk using the g-and-h distribution5
Robust portfolio rebalancing with cardinality and diversification constraints5
The EWMA Heston model5
A new representation of the risk-neutral distribution and its applications5
Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables5
Cryptocurrencies change everything4
Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling4
A data-driven deep learning approach for options market making4
Delta hedging bitcoin options with a smile4
GARCH-UGH: a bias-reduced approach for dynamic extreme Value-at-Risk estimation in financial time series4
Constructing long-short stock portfolio with a new listwise learn-to-rank algorithm4
Gram–Charlier methods, regime-switching and stochastic volatility in exponential Lévy models4
On the dependence structure between S&P500, VIX and implicit Interexpectile Differences4
Static replication of barrier-type options via integral equations4
Time-frequency forecast of the equity premium4
Portfolio optimization under the generalized hyperbolic distribution: optimal allocation, performance and tail behavior4
Index volatility and the put-call ratio: a tale of three markets4
A numerical approach to pricing exchange options under stochastic volatility and jump-diffusion dynamics4
Valuation model for Chinese convertible bonds with soft call/put provision under the hybrid willow tree4
Supervised portfolios4
Portfolio optimization with a prescribed terminal wealth distribution4
Brexit news propagation in financial systems: multidimensional visibility networks for market volatility dynamics4
Coherent portfolio performance ratios4
A note on the option price and ‘Mass at zero in the uncorrelated SABR model and implied volatility asymptotics’4
Optimal reinsurance-investment with loss aversion under rough Heston model4
Volatility information difference between CDS, options, and the cross section of options returns4
The timing of debt renegotiation and its implications for irreversible investment and capital structure4
Effective stochastic volatility: applications to ZABR-type models4
Pricing electricity day-ahead cap futures with multifactor skew-t densities4
On an irreversible investment problem with two-factor uncertainty4
0.19696998596191