+2.8%
-1.2%
+4.5%
+0.7%
-0.9%
+3.1%
α
β
σ
Δ
θ
γ
ε
ρ
μ
λ
Ω
Σ
∂
π
χ²
Sharpe
Momentum
Mean-Rev
Volatility
Eq. Premium
Alpha
VaR
ROI
NAV
CAGR
Skewness
Kurtosis
Momentum Puzzle
Behavioral Biases
Data-Driven
CAPM
Markowitz
Market Anomalies
Trend-Following
Pattern-Recognition
0.84
1.32
99.7%
2.5x
σ²
R²
E[r]
p<0.05
μ=0.12
r²=0.89
VIX
SPX
DAX
EURUSD
MSCI
Insights
Research
How systematic investing works, explained by the people who build it: reference guides to the core concepts behind Systematic-Traded Funds, and our quantitative research articles.
Reference library
- Systematic-Traded Funds (STFs)Definition, structure and origin of the STF investment sub-class.
- Systematic InvestingRule-based portfolio decisions under an explicit risk budget.
- Quantitative InvestingFactor models, statistical methods and quantitative portfolio construction.
- Quantitative StrategiesMomentum, mean reversion, carry, low volatility and regime models compared.
- Systematic TradingStrategy families, system architecture and the pitfalls of live models.
- Algorithmic TradingExecution algorithms such as VWAP, TWAP and closing-auction strategies.
- STFs vs. Hedge FundsHow Systematic-Traded Funds compare with quantitative hedge funds.
- Institutional Asset ManagementSystematic mandates for pension funds, insurers, foundations and family offices.
Research articles
- Liquidity Cascades and Systematic Risk: How Market Microstructure Shapes Macro OutcomesModern markets are vulnerable to liquidity shocks that propagate from microstructure frictions to macro-level drawdowns. We examine the mechanisms - and how systematic strategies can measure, monitor, and mitigate them.Research
- Value-at-Risk: From Parametric Models to Expected Shortfall - A Practitioner's GuideA comprehensive deep-dive into Value-at-Risk methodologies, comparing parametric, historical simulation, and Monte Carlo approaches, and examining the transition toward Expected Shortfall under Basel III/IV regulatory frameworks.Risk Management
- GARCH Models in Practice: Forecasting Volatility for Systematic Risk ManagementAn in-depth exploration of GARCH family models - from the classic GARCH(1,1) to EGARCH and GJR-GARCH - examining their role in volatility forecasting, VaR estimation, and dynamic portfolio construction.Risk Management
- Stress Testing and Tail Risk: Building Resilient Portfolios Beyond VaRHow systematic stress testing, extreme value theory, and scenario analysis complement traditional risk metrics to protect portfolios against black swan events and systemic crises.Risk Management
- Systematic SupremacyExploring the key advantages of the systematic approach to investing: avoiding psychological bias, scalability, consistent risk management, and scientific rigor in investment development.Research
- Why the Efficient Market Hypothesis is Outdated and ObsoleteA rigorous academic critique examining the theoretical limitations and empirical falsifications of Eugene Fama's Efficient Market Hypothesis, drawing on behavioral economics, market microstructure research, and the documented success of systematic investment strategies.Research
- The Alchemy of FinanceA compelling historical account of the hedge fund industry's evolution, from Alfred Jones's first hedged fund to the complex investment behemoths of today, examining pioneering strategies and their profound impact on global markets.Research
- Q4 2025 Market CommentaryOur quantitative research team shares comprehensive insights on market dynamics, factor performance, and strategic portfolio positioning for the upcoming quarter.Research
- Navigating the Tides of Innovation: The Imperative of Risk Management in TradingExamining the delicate balance between financial innovation and stability, and how systematic trading strategies serve as essential risk management tools in an evolving market landscape.Risk Management
- The Rise of Artificial Intelligence in Quantitative FinanceHow machine learning and AI are transforming systematic investment strategies, from alpha generation to risk management and execution optimization.Research
- ESG Integration in Quantitative Strategies: A Practical FrameworkExploring how environmental, social, and governance factors can be systematically incorporated into quantitative investment processes without sacrificing returns.Research
- Understanding Market Microstructure: The Hidden EdgeHow deep understanding of market microstructure - order flow, liquidity dynamics, and execution venues - creates alpha opportunities invisible to traditional analysis.Research
- Alternative Data Revolution: Separating Signal from NoiseA practical guide to evaluating and integrating alternative data sources, from satellite imagery to web scraping, in systematic investment strategies.Research
- Understanding Volatility: Beyond VIX and Simple MeasuresA comprehensive analysis of volatility dynamics, term structure, and the sophisticated approaches required for effective volatility trading and risk management.Research
- Machine Learning in Finance: Best Practices and PitfallsSharing lessons learned from implementing machine learning in production investment systems, with emphasis on avoiding common mistakes that lead to false discoveries.Research
- The Mathematics of Risk Parity: Theory and PracticeA rigorous examination of risk parity portfolio construction, from foundational mathematics to practical implementation challenges and real-world performance analysis.Research
- Cryptocurrency Markets: A Quantitative PerspectiveAnalyzing the opportunities and challenges of applying systematic strategies to cryptocurrency markets, from market structure to alpha sources.Research
- The Art of Factor Investing: A Comprehensive FrameworkA deep dive into factor-based investing strategies, from academic foundations to practical implementation challenges in modern portfolio construction.Research