Finance Paper Millhttps://financepapermill.com/Academic finance and market research curated by a 30-year hedge fund veteran. Explore paper reviews, house tests, and practical implementation limits.en-usA volatility-burst backtest can hide the drawdown between month-ends.https://financepapermill.com/research/a-volatility-burst-backtest-can-hidehttps://financepapermill.com/research/a-volatility-burst-backtest-can-hideOur daily-data reconstruction exposes drawdown and execution-timing risks.VolatilityTail RiskRisk ManagementReplication TestsPredictable rebalancing does not guarantee a profitable front-run.https://financepapermill.com/research/predictable-rebalancing-does-nothttps://financepapermill.com/research/predictable-rebalancing-does-notA plausible institutional flow meets weak futures returns and a stronger, imperfect bond proxy.Portfolio ConstructionReturn PredictabilityReplication TestsA backtest spends information every time we change the question.https://financepapermill.com/research/a-backtest-spends-information-everyhttps://financepapermill.com/research/a-backtest-spends-information-everyThe Axiomatic Trader connects model complexity, research search and position sizing through explicit assumptions.Risk ManagementMachine LearningPortfolio ConstructionPaper ReviewsA sparse neural model improves ranking. Size still changes the answer.https://financepapermill.com/research/a-sparse-neural-model-improves-rankinghttps://financepapermill.com/research/a-sparse-neural-model-improves-rankingFeature structure reduces one model’s parameter burden, but the stronger portfolio claim depends on weighting and costs.Machine LearningReturn PredictabilityPortfolio ConstructionPaper ReviewsAn earnings surprise can make investors miss the market news.https://financepapermill.com/research/an-earnings-surprise-can-make-investorshttps://financepapermill.com/research/an-earnings-surprise-can-make-investorsA study of earnings announcements finds delayed macro information in subsequent stock returns. Trading it requires precise timing.Return PredictabilityNews and SentimentMarket MicrostructurePaper ReviewsA better volatility-smile model is not automatically a better hedge.https://financepapermill.com/research/a-better-volatility-smile-model-ishttps://financepapermill.com/research/a-better-volatility-smile-model-isHigher-order surface dynamics help explain curvature. The improvement is much smaller for the whole smile.OptionsVolatilityRisk ModelsPaper ReviewsThe market’s correlation map can change without giving us a trade.https://financepapermill.com/research/the-markets-correlation-map-can-changehttps://financepapermill.com/research/the-markets-correlation-map-can-changeA reconfiguration index describes a volatility environment. Its premium measure is not a variance-swap payoff.Risk ModelsVolatilityPortfolio ConstructionPaper ReviewsA steadier index tracker can still be a worse tracker.https://financepapermill.com/research/a-steadier-index-tracker-can-stillhttps://financepapermill.com/research/a-steadier-index-tracker-can-stillEntropy regularization reduces some portfolio churn. The study’s tables show a trade-off, not universal superiority.Portfolio ConstructionRisk ModelsRisk ManagementPaper ReviewsLeveraged ETF risk can arrive from the neighboring trade.https://financepapermill.com/research/leveraged-etf-risk-can-arrive-fromhttps://financepapermill.com/research/leveraged-etf-risk-can-arrive-fromA feedback model finds a Korean transmission channel and U.S. nulls. Venue depth is part of the hypothesis.Market MicrostructureRisk ManagementVolatilityPaper ReviewsDiversification starts with what stocks respond to.https://financepapermill.com/research/diversification-starts-with-whathttps://financepapermill.com/research/diversification-starts-with-whatMINGLE builds a graph from shared exposures. The gains are promising, but crisis protection remains limited.Portfolio ConstructionRisk ModelsMachine LearningPaper ReviewsThree matrices beat the index. The replication question is harder.https://financepapermill.com/research/three-matrices-beat-the-index-thehttps://financepapermill.com/research/three-matrices-beat-the-index-theRank dynamics offer a parsimonious portfolio design, but universe selection and uncertainty qualify the headline.MomentumPortfolio ConstructionReturn PredictabilityPaper ReviewsLess volatility drag does not make aggressive leverage safe.https://financepapermill.com/research/less-volatility-drag-does-not-makehttps://financepapermill.com/research/less-volatility-drag-does-not-makeA compact neural risk model improves the authors’ backtest. Its drawdowns and universe rules deserve equal billing.Risk ModelsPortfolio ConstructionMachine LearningPaper ReviewsCan the VIX curve tell us when protection is worth carrying?https://financepapermill.com/research/can-the-vix-curve-tell-us-when-protectionhttps://financepapermill.com/research/can-the-vix-curve-tell-us-when-protectionAn industry white paper uses curve disorder to switch between equity and volatility futures.VolatilityOptionsTail RiskPaper ReviewsMissing prices can turn a risk model into a portfolio problem.https://financepapermill.com/research/missing-prices-can-turn-a-risk-modelhttps://financepapermill.com/research/missing-prices-can-turn-a-risk-modelA neural covariance estimator reports lower risk, but the implementation deserves an equally careful audit.Portfolio ConstructionMachine LearningRisk ModelsPaper ReviewsTrend following can have a right tail without having an edge.https://financepapermill.com/research/trend-following-can-have-a-righthttps://financepapermill.com/research/trend-following-can-have-a-rightA useful distinction between the shape of returns and the source of expected profit.Trend FollowingReturn PredictabilityPaper ReviewsA crash and a grinding bear market need different protection.https://financepapermill.com/research/a-crash-and-a-grinding-bear-markethttps://financepapermill.com/research/a-crash-and-a-grinding-bear-marketA framework for combining puts and trend without mistaking simulation weights for an allocation rule.Trend FollowingOptionsTail RiskPaper ReviewsKellyBoost gets the objective right. That can still mean betting too much.https://financepapermill.com/research/kellyboost-gets-the-objective-righthttps://financepapermill.com/research/kellyboost-gets-the-objective-rightA direct route from features to portfolio weights exposes the cost of estimation error.Portfolio ConstructionMachine LearningRisk ManagementPaper ReviewsA better prediction target did not rescue our model.https://financepapermill.com/research/a-better-prediction-target-did-nothttps://financepapermill.com/research/a-better-prediction-target-did-notWe changed one training choice and kept the rest of the experiment fixed.Machine LearningReturn PredictabilityReplication TestsThe strongest insider signal may be the one we cannot observe.https://financepapermill.com/research/the-strongest-insider-signal-mayhttps://financepapermill.com/research/the-strongest-insider-signal-mayA Norwegian register study shows why access to the right data comes before a backtest.Insider TradingMarket MicrostructurePaper ReviewsWhen a news signal depends on which news you can see.https://financepapermill.com/research/when-a-news-signal-depends-on-whichhttps://financepapermill.com/research/when-a-news-signal-depends-on-whichThe disagreement measure is elegant. Substituting the event feed changed the research problem.News and SentimentReturn PredictabilityReplication TestsAn insider trade is not automatically an information signal.https://financepapermill.com/research/an-insider-trade-is-not-automaticallyhttps://financepapermill.com/research/an-insider-trade-is-not-automaticallyA classic classification rule met a much weaker result in our later US sample.Insider TradingReturn PredictabilityReplication TestsSix days explain the momentum story. Can we trade it?https://financepapermill.com/research/six-days-explain-the-momentum-storyhttps://financepapermill.com/research/six-days-explain-the-momentum-storyA compelling calendar effect meets a less compelling implementation.MomentumMarket MicrostructureReplication Tests