
  <rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
    <channel>
      <title>RiskLab AI</title>
      <link>https://risklab.ai/research</link>
      <description>High-performance Financial AI</description>
      <language>en-us</language>
      <managingEditor> (RiskLab)</managingEditor>
      <webMaster> (RiskLab)</webMaster>
      <lastBuildDate>Tue, 13 Oct 2026 00:00:00 GMT</lastBuildDate>
      <atom:link href="https://risklab.ai//machine-intelligence-for-finance/feed.xml" rel="self" type="application/rss+xml"/>
      
  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/backtest-overfitting</guid>
    <title>Probability of Backtest Overfitting</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/backtest-overfitting</link>
    <description>Measure how often the trial selected in-sample falls into the lower half of the out-of-sample ranking.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>backtesting</category><category>overfitting</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/combinatorial-purged-cross-validation</guid>
    <title>Combinatorial Purged Cross-Validation</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/combinatorial-purged-cross-validation</link>
    <description>Construct many time-aware validation paths while controlling overlap between financial labels.</description>
    <pubDate>Mon, 12 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>validation</category><category>cross-validation</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/covariance-denoising</guid>
    <title>Denoising High-Dimensional Covariance Matrices</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/covariance-denoising</link>
    <description>Separate noisy covariance eigenvalues from stronger directions and examine the effect on portfolio stability.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>covariance</category><category>random-matrix-theory</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/decision-focused-learning</guid>
    <title>Decision-Focused Learning for Robust Portfolio Choice</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/decision-focused-learning</link>
    <description>Train predictions for the quality of downstream portfolio decisions and test choices under uncertainty.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>decision-focused-learning</category><category>robust-optimization</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/deep-bsde</guid>
    <title>Solving High-Dimensional PDEs with Deep BSDE Methods</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/deep-bsde</link>
    <description>Represent parabolic equations through stochastic paths and train neural approximations against terminal conditions.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>deep-bsde</category><category>partial-differential-equations</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/deep-hedging</guid>
    <title>Deep Hedging</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/deep-hedging</link>
    <description>Learn an adapted hedging policy under transaction costs and compare its terminal risk with declared alternatives.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>deep-hedging</category><category>risk-management</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/dependence-geometry-information</guid>
    <title>Measuring Dependence with Geometry and Information</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/dependence-geometry-information</link>
    <description>Compare correlation distance with information measures that can detect nonlinear dependence.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>dependence</category><category>information-theory</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/event-based-financial-time</guid>
    <title>Event-Based Measures of Financial Time</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/event-based-financial-time</link>
    <description>Compare clock, tick, volume, dollar, imbalance, and run sampling of the same transaction record.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>sampling</category><category>financial-data</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/feature-importance</guid>
    <title>Feature Importance under Dependence</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/feature-importance</link>
    <description>Compare impurity, permutation, clustered, and orthogonalized importance when predictors share information.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>feature-importance</category><category>dependence</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/financial-labels</guid>
    <title>From Event Detection to Financial Labels</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/financial-labels</link>
    <description>Detect price events, assign first-passage labels, and compare meta-labeling with trend scans.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>labeling</category><category>event-detection</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/fractional-differentiation</guid>
    <title>Fractional Differentiation</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/fractional-differentiation</link>
    <description>Use a fractional difference order to reduce persistence while retaining more memory than an ordinary difference.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>fractional-differentiation</category><category>time-series</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/generative-financial-time-series</guid>
    <title>Generative Models for Financial Time Series</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/generative-financial-time-series</link>
    <description>Represent chronological dependence, train a TimeGAN model, and compare held-out real and generated sequences.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>time-series</category><category>timegan</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/hierarchical-risk-parity</guid>
    <title>Hierarchical Risk Parity</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/hierarchical-risk-parity</link>
    <description>Build an asset hierarchy from correlations and allocate risk recursively without inverting the full covariance matrix.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>hierarchical-risk-parity</category><category>portfolio-construction</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/hyperparameter-selection</guid>
    <title>Hyperparameter Selection under Dependence</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/hyperparameter-selection</link>
    <description>Separate parameter search from final evaluation and examine whether the selected setting is stable through time.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>hyperparameters</category><category>model-selection</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/market-microstructure</guid>
    <title>Market Microstructure from Prices</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/market-microstructure</link>
    <description>Estimate trading frictions and volatility from observed prices when quotes or trade directions are unavailable.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>market-microstructure</category><category>liquidity</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/mathematical-language</guid>
    <title>The Mathematical Language of Financial Learning</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/mathematical-language</link>
    <description>Describe what is known at each date, distinguish statistical targets from estimates, and measure sampling uncertainty.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>probability</category><category>estimation</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/nested-cluster-optimization</guid>
    <title>Nested Cluster Methods for Portfolio Construction</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/nested-cluster-optimization</link>
    <description>Optimize within clusters before combining them and compare nested allocations under estimation error.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>nested-clusters</category><category>portfolio-optimization</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/network-clearing</guid>
    <title>Proportional Clearing in Financial Networks</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/network-clearing</link>
    <description>Calculate mutually consistent payments in a liability network and examine how structure changes shock losses.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>financial-networks</category><category>clearing</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/overlapping-information-weights</guid>
    <title>Weighting Samples with Overlapping Information</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/overlapping-information-weights</link>
    <description>Measure event concurrency, calculate average uniqueness, and sample observations with less duplicated information.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>sample-weights</category><category>overlap</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/portfolio-geometry</guid>
    <title>Portfolio Geometry under Covariance Uncertainty</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/portfolio-geometry</link>
    <description>Study the mean-variance frontier and measure how estimation errors move weights and realized risk.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>portfolio-optimization</category><category>covariance</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/portfolio-majorization</guid>
    <title>Portfolio Concentration through Majorization</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/portfolio-majorization</link>
    <description>Compare portfolio concentration through ordered partial sums and mixing by doubly stochastic matrices.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>majorization</category><category>portfolio-concentration</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/position-sizing</guid>
    <title>Managing Position Size under Performance Risk</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/position-sizing</link>
    <description>Translate calibrated signals into positions and examine costs, drawdowns, and strategy-risk limits.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>position-sizing</category><category>risk-management</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/predictor-clustering</guid>
    <title>Clustering Predictors for Ensemble Learning</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/predictor-clustering</link>
    <description>Study how correlated errors limit an ensemble and whether predictor clusters remain stable across samples.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>clustering</category><category>ensemble-learning</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/probability-ambiguity</guid>
    <title>Measuring Ambiguity in Probability Laws</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/probability-ambiguity</link>
    <description>Separate variation within one probability law from disagreement across several supplied laws.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>ambiguity</category><category>probability</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/regime-adaptation</guid>
    <title>Adapting to Regime Change</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/regime-adaptation</link>
    <description>Compare hidden-state probabilities, change alarms, and refit policies while preserving chronological order.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>regime-change</category><category>adaptation</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/reproducible-research-study</guid>
    <title>From Faster Calculations to a Complete Research Study</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/reproducible-research-study</link>
    <description>Combine deterministic parallel calculations, named methods, chronological selection, and a checked portfolio result.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>reproducibility</category><category>research-design</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/risklabai-design</guid>
    <title>How RiskLabAI Is Built</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/risklabai-design</link>
    <description>Read the public library as a software system: its modules, component selection, and Python-Julia design choices.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>risklabai</category><category>software-design</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/sharpe-multiple-testing</guid>
    <title>Adjusting Sharpe Inference for Multiple Testing</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/sharpe-multiple-testing</link>
    <description>Account for non-normal returns, serial dependence, and the number of tried strategies when interpreting a Sharpe ratio.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>sharpe-ratio</category><category>multiple-testing</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/structural-breaks</guid>
    <title>Detecting Structural Breaks and Explosive Dynamics</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/structural-breaks</link>
    <description>Use recursive right-tailed tests and change-point methods to locate unusual persistence and level shifts.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>structural-breaks</category><category>change-points</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/synthetic-financial-environments</guid>
    <title>Synthetic Financial Environments</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/synthetic-financial-environments</link>
    <description>Create controlled return systems with known covariance, drift changes, and repeated-sample uncertainty.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>simulation</category><category>monte-carlo</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/tail-risk</guid>
    <title>Measuring Tail Risk from Extreme Events</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/tail-risk</link>
    <description>Fit threshold exceedances, compare downside-risk measures, and test a sequence of held-out risk forecasts.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>tail-risk</category><category>extreme-value-theory</category>
  </item>

  <item>
    <guid>https://risklab.ai/research/machine-intelligence-for-finance/temporal-cross-validation</guid>
    <title>Temporal Cross-Validation</title>
    <link>https://risklab.ai/research/machine-intelligence-for-finance/temporal-cross-validation</link>
    <description>Preserve time order and remove overlapping information when evaluating financial predictions.</description>
    <pubDate>Tue, 13 Oct 2026 00:00:00 GMT</pubDate>
    <author> (RiskLab)</author>
    <category>machine-intelligence-for-finance</category><category>cross-validation</category><category>time-series</category>
  </item>

    </channel>
  </rss>
