Artur Sepp: Systematic Quant Trend/Vol/Rates/Macro @ArturSepp
All views systematic: https://t.co/hz2IJAhW7R & https://t.co/mGbPf9PtMf. Quant of the Year by Risk Magazine: https://t.co/7MeiDASJc2 papers.ssrn.com/sol3/cf_dev/Ab… Zurich, Switzerland Joined October 2014-
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“The Science and Practice of Trend-following Systems“: “We present a unified approach to the design of trend-following systems and their classification into European, American, and Time Series Momentum systems.” papers.ssrn.com/sol3/papers.cf…
In case you want to shift your quant career from crunching numbers to creating our future AI overlords...
Do you think it is true that you can apply existing open source LLMs to generate trading strategies or it just marketing bluff? bloomberg.com/news/articles/…
A great book to turn your holiday into a self-study workshop! @__paleologo would you have something like a Q&A forum, if possible to raise some follow-up questions and comments?
I am planning to migrate my #Python quant analytics from 3.11 to either 3.12 or 3.13. Any preference between 3.12 or 3.13? Any expected problems with common quant packages (pandas, numpy, numba, matplotlib, cvxpy)?
Join my online talk on Wed 9th July at 18 UK time to learn about: · New approach to strategic & tactical asset allocation with illiquid private equity and debt · New approach for estimation of covariance matrix of public and private assets cqfinstitute.org/content/indust…
Very interesting paper on problems with factor timing. Generally, these problems transfer to any timing strats including (dynamic) regime-conditioning. I do not find that any timing or regime models work well out-of-sample. Any thoughts? @investingidiocy papers.ssrn.com/sol3/papers.cf…
Interview with CFM: In terms of alpha, with longer term signals, although you spend a lot of time trying to avoid the in-sample bias, it’s extremely difficult. We had models which we thought were well designed that we had to turn off because they were not globaltrading.net/powered-by-res…
I am looking forward to present “The Science and Practice of Trend-following Systems” at London Quant Group hybrid seminar on 13th May at 18.30 in London lqg.org.uk/2025-lqg-event…
Performance of Oakmark Select is available in Bloomberg (OAKLX) As noticed, most of it alpha came during dotcom crash, more recently alpha decayed: using rolling EWMA beta to SPY ETF This factsheet is generated using #qis Python package (need BBG for data) github.com/ArturSepp/Quan…
Performance of Oakmark Select is available in Bloomberg (OAKLX) As noticed, most of it alpha came during dotcom crash, more recently alpha decayed: using rolling EWMA beta to SPY ETF This factsheet is generated using #qis Python package (need BBG for data) github.com/ArturSepp/Quan… https://t.co/nisy1uYtPU
It's a good paper. Normalisation of returns by volatilities helps to stabilize covariance structure You can greatly simplify the math for a practical setting by using EWMA (or integrated Garch with b=1-lambda and a = lambda) for both variances & covariances instead of Garch & DCC
It's a good paper. Normalisation of returns by volatilities helps to stabilize covariance structure You can greatly simplify the math for a practical setting by using EWMA (or integrated Garch with b=1-lambda and a = lambda) for both variances & covariances instead of Garch & DCC
State Street Global Advisors is partnering with Bridgewater to launch an ETF powered by Bridgewater's “All Weather” risk parity strategy ft.com/content/e6954e…
A nice paper arguing that the rise of bid/ask spread on the put side may have contributed to the spike of the VIX on 5 Aug 2024 ideas.repec.org/p/bis/bisblt/9…
Exciting opportunity for on-site #internship at my team in LGT Zurich Projects: systematic macro strats, ML for alt data, robust portfolio optimisation, equity and fixed income factors Reqs: MSc/PhD, strong Python, Statistics and Data Science, Finance DM me your CV if interested
Youtube video and slides of my presentation of log-normal stochastic volatility model New features: 1) dynamics consistent with forward variance by construction, 2) rough dynamics, 3) model calibration to time series of implied vols of #Bitcoin options artursepp.com/2024/10/25/log…
Join my online talk if interested to learn about "hard-quant" volatility modelling: Friday 18th Oct at 12.00 noon CT / 18.00 UK time cse.umn.edu/mcfam/mcfam-se… (just click the zoom link) I will focus on practical aspects of applying log-normal SV model worldscientific.com/doi/epdf/10.11…
Which asset historically performed well after US election resulting in Divided government: S&P500, DXY (USD), or UST 10y bond? DXY benefited most in such cases More examples: github.com/ArturSepp/Quan… #Python code in qis package: github.com/ArturSepp/Quan…
I will participate in a fireside chat on HF manager selection. Just sharing my experience from the both sides of the table. I put up some points for a big picture based on importance (yes, the performance is not what counts the most). Any other considerations? @investingidiocy

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