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20212024
most citedBenchmarking Specialized Databases for High-frequency Data

2 citations · 3 across the 9 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

q-fin.ST2023

From Deep Filtering to Deep Econometrics

Robert Stok, Paul Bilokon

Calculating true volatility is an essential task for option pricing and risk management. However, it is made difficult by market microstructure noise. Particle filtering has been p…

q-fin.CP2023

Applying Deep Learning to Calibrate Stochastic Volatility Models

Abir Sridi, Paul Bilokon

Stochastic volatility models, where the volatility is a stochastic process, can capture most of the essential stylized facts of implied volatility surfaces and give more realistic…

q-fin.CP2023

Derivatives Sensitivities Computation under Heston Model on GPU

Pierre-Antoine Arsaguet, Paul Bilokon

This report investigates the computation of option Greeks for European and Asian options under the Heston stochastic volatility model on GPU. We first implemented the exact simulat…

q-fin.ST2023

Real-time VaR Calculations for Crypto Derivatives in kdb+/q

Yutong Chen, Paul Bilokon, Conan Hales +1

Cryptocurrency market is known for exhibiting significantly higher volatility than traditional asset classes. Efficient and adequate risk calculation is vital for managing risk exp…

cs.PF2023

C++ Design Patterns for Low-latency Applications Including High-frequency Trading

Paul Bilokon, Burak Gunduz

This work aims to bridge the existing knowledge gap in the optimisation of latency-critical code, specifically focusing on high-frequency trading (HFT) systems. The research culmin…

cs.PF2023

Semi-static Conditions in Low-latency C++ for High Frequency Trading: Better than Branch Prediction Hints

Paul Alexander Bilokon, Maximilian Lucuta, Erez Shermer

Conditional branches pose a challenge for code optimisation, particularly in low latency settings. For better performance, processors leverage dedicated hardware to predict the out…

cs.DB2023★ 2 cited

Benchmarking Specialized Databases for High-frequency Data

Fazl Barez, Paul Bilokon, Ruijie Xiong

This paper presents a benchmarking suite designed for the evaluation and comparison of time series databases for high-frequency data, with a focus on financial applications. The pr…