{
  "scan_date": "2026-04-10",
  "sources_checked": [
    "arxiv",
    "openalex",
    "nber",
    "bis",
    "ny_fed",
    "chicago_fed",
    "cboe",
    "google_scholar",
    "ssrn"
  ],
  "papers_found": 178,
  "papers_relevant": 8,
  "top_papers": [
    {
      "title": "Risky Intraday Order Flow and Option Liquidity May 23, 2025 Abstract",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.bauer.uh.edu/hdoshi/docs/DPS_May_2025.pdf",
      "date": "2026-04-10",
      "abstract": "SPX options. First, we observe a strong positive relationship between the standard deviation \u00b7 of order \ufb02ow and illiquidity for both call and put samples. Moreover, the coe\ufb03cient is larger \u00b7 for very short-maturity options (up to 24 days), con\ufb01rming that trading costs in shorter- dated contracts are more sensitive to intraday order \ufb02ow volatility.",
      "relevance_score": 6,
      "relevance_tags": [
        "order_flow",
        "intraday"
      ],
      "key_finding": "Moreover, the coe\ufb03cient is larger \u00b7 for very short-maturity options (up to 24 days), con\ufb01rming that trading costs in shorter- dated contracts are more sensitive to intraday order \ufb02ow volatility.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "QUANTITATIVE FINANCE VO L U M E 3 (2003) 417\u2013425 RE S E A R C H PA P E R",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.cis.upenn.edu/~mkearns/finread/PinningPaper.pdf",
      "date": "2026-04-10",
      "abstract": "<strong>We propose a model to describe stock pinning on option expiration dates</strong>. We \u00b7 argue that if the open interest on a particular contract is unusually large,",
      "relevance_score": 6,
      "relevance_tags": [
        "pinning"
      ],
      "key_finding": "We \u00b7 argue that if the open interest on a particular contract is unusually large,",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Derivative Spreads: Evidence from SPX Options* Jie Cao\u0084 Kris Jacobs Sai Ke\u00a7",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.aeaweb.org/conference/2024/program/paper/DFs2GZND",
      "date": "2026-04-10",
      "abstract": "to deter imbalanced order flows at that time. In contrast, the competing market makers of \u00b7 options can avoid excessive long or short positions. Wei and Zheng (2010) investigate the de- terminants of equity options liquidity, measured by proportional spreads, and find the option \u00b7 return volatility to be a key determinant.",
      "relevance_score": 6,
      "relevance_tags": [
        "order_flow"
      ],
      "key_finding": "Wei and Zheng (2010) investigate the de- terminants of equity options liquidity, measured by proportional spreads, and find the option \u00b7 return volatility to be a key determinant.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Forecasting Tangency Portfolios and Investing in the Minimum Euclidean Distance Portfolio to Maximize Out-of-Sample Sharpe Ratios",
      "authors": "Nolan Alexander, William Scherer",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.03948v1",
      "date": "2026-04-05",
      "abstract": "We propose a novel model to achieve superior out-of-sample Sharpe ratios. While most research in asset allocation focuses on estimating the return vector and covariance matrix, the first component of our novel model instead forecasts the future tangency portfolio, and the second component then determines the optimal investment portfolio. First, to forecast the tangency portfolio, we forecast the efficient frontier by decomposing its functional form, a square root second-order polynomial, into th...",
      "relevance_score": 5,
      "relevance_tags": [],
      "key_finding": "We propose a novel model to achieve superior out-of-sample Sharpe ratios.",
      "backtestable": true,
      "data_we_have": false,
      "priority": "MEDIUM"
    },
    {
      "title": "Tariffs, Global Value Chains, and the Incidence of Protection: Evidence from US Automobiles",
      "authors": "Luke Heeney, Christopher R. Knittel, Jasdeep Mandia",
      "source": "nber",
      "url": "https://www.nber.org/papers/w35023#fromrss",
      "date": "2026-04-10",
      "abstract": "In many modern industries, firms compete in differentiated-product markets while relying on complex global value chains for intermediate inputs. In such settings, trade policies such as tariffs on vehicles and parts operate not only through consumer substitution and firm pricing, but also through firms\u2019 cost structures and sourcing decisions. We develop a structural model of the U.S. automobile market that integrates random-coefficients demand, multiproduct firm pricing, and a flexible supply-si...",
      "relevance_score": 5,
      "relevance_tags": [
        "order_flow"
      ],
      "key_finding": "Overall, the results show that tariff incidence depends critically on firms\u2019 exposure to global value chains and cannot be inferred from final assembly locations alone.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "MEDIUM"
    },
    {
      "title": "Intraday Jumps and 0DTE Options: Pricing and Hedging Implications by Milo\u0161 Bo\u017eovi\u0107 :: SSRN",
      "authors": "Unknown",
      "source": "ssrn",
      "url": "https://papers.ssrn.com/sol3/Delivery.cfm/5223127.pdf?abstractid=5223127&mirid=1",
      "date": "2026-04-10",
      "abstract": "This paper <strong>investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&amp;P 500</strong>. We develop a continuous-time stochastic volatility model with Poisson jumps and derive semi-closed-form solutions for European option prices, ...",
      "relevance_score": 5,
      "relevance_tags": [
        "0DTE",
        "intraday"
      ],
      "key_finding": "This paper <strong>investigates how intraday jumps affect the pricing and hedging of 0DTE options on the S&amp;P 500</strong>.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Same-Day Options, Same-Day Alpha? Institutional Lessons from 0DTE\u2019s Boom | Resonanz Capital",
      "authors": "Unknown",
      "source": "web",
      "url": "https://resonanzcapital.com/insights/same-day-options-same-day-alpha-institutional-lessons-from-0-dtes-boom",
      "date": "2026-04-10",
      "abstract": "Traditional Black-Scholes models, calibrated to daily data, underestimate the frequency and severity of intraday price swings. Risk teams now look to realized volatility distributions measured in five-minute or even one-minute intervals. Back tests are being stress-tested against episodes like the August 2024 CPI release, when the S&amp;P 500 gapped nearly two percent in fifteen minutes. It is no longer enough to model volatility in calendar terms \u2014 you must model it in clock-time. For allocator...",
      "relevance_score": 5,
      "relevance_tags": [
        "0DTE",
        "intraday",
        "volatility"
      ],
      "key_finding": "For allocators, the rise of 0DTE strategies poses both an opportunity and a challenge.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "VIX Term Structure | Cboe",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.cboe.com/tradable-products/vix/term-structure/",
      "date": "2026-04-10",
      "abstract": "Term Structure and Volatility Indices on the S&amp;P 500\u00ae Index Cboe Options Exchange offers these five gauges of expectations of future volatility based on real-time trading of S&amp;P 500 options: the VIX9D Index (9-day volatility), VIX Index (30-day volatility), VIX3M (3-month volatility), VIX6M Index (6-month volatility), and VIX1Y Index (1-year volatility). The five indices can serve as tools to gain valuable insights on investor sentiment, and on the historical and current term structure r...",
      "relevance_score": 5,
      "relevance_tags": [
        "vix"
      ],
      "key_finding": "Monthly and weekly expirations are available and trade nearly 24 hours a day, five days a week.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "MEDIUM"
    },
    {
      "title": "Climate-Aware Copula Models for Sovereign Rating Migration Risk",
      "authors": "Marina Palaisti",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.07567v1",
      "date": "2026-04-08",
      "abstract": "This paper develops a copula-based time-series framework for modelling sovereign credit rating activity and its dependence dynamics, with extensions incorporating climate risk. We introduce a mixed-difference transformation that maps discrete annual counts of sovereign rating actions into a continuous domain, enabling flexible copula modelling. Building on a MAG(1) copula process, we extend the framework to a MAGMAR(1,1) specification combining moving-aggregate and autoregressive dependence, and...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "This paper develops a copula-based time-series framework for modelling sovereign credit rating activity and its dependence dynamics, with extensions incorporating climate risk.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "SBBTS: A Unified Schr\u00f6dinger-Bass Framework for Synthetic Financial Time Series",
      "authors": "Alexandre Alouadi, Gr\u00e9goire Loeper, C\u00e9lian Marsala, Othmane Mazhar, Huy\u00ean Pham",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.07159v1",
      "date": "2026-04-08",
      "abstract": "We study the problem of generating synthetic time series that reproduce both marginal distributions and temporal dynamics, a central challenge in financial machine learning. Existing approaches typically fail to jointly model drift and stochastic volatility, as diffusion-based methods fix the volatility while martingale transport models ignore drift. We introduce the Schr\u00f6dinger-Bass Bridge for Time Series (SBBTS), a unified framework that extends the Schr\u00f6dinger-Bass formulation to multi-step t...",
      "relevance_score": 4,
      "relevance_tags": [
        "ml_trading"
      ],
      "key_finding": "These results show that SBBTS provides a practical and effective framework for realistic time series generation and data augmentation in financial applications.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcus-Signature RKHS",
      "authors": "Daniel Bloch",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.05008v1",
      "date": "2026-04-06",
      "abstract": "This paper introduces a novel generative framework for synthesising forward-looking, c\u00e0dl\u00e0g stochastic trajectories that are sequentially consistent with time-evolving path-law proxies, thereby incorporating anticipated structural breaks, regime shifts, and non-autonomous dynamics. By framing path synthesis as a sequential matching problem on restricted Skorokhod manifolds, we develop the \\textit{Anticipatory Neural Jump-Diffusion} (ANJD) flow, a generative mechanism that effectively inverts the...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "This paper introduces a novel generative framework for synthesising forward-looking, c\u00e0dl\u00e0g stochastic trajectories that are sequentially consistent with time-evolving path-law proxies, thereby incorp",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions",
      "authors": "Daniel Bloch",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.04662v1",
      "date": "2026-04-06",
      "abstract": "This paper introduces Anticipatory Reinforcement Learning (ARL), a novel framework designed to bridge the gap between non-Markovian decision processes and classical reinforcement learning architectures, specifically under the constraint of a single observed trajectory. In environments characterised by jump-diffusions and structural breaks, traditional state-based methods often fail to capture the essential path-dependent geometry required for accurate foresight. We resolve this by lifting the st...",
      "relevance_score": 4,
      "relevance_tags": [
        "ml_trading"
      ],
      "key_finding": "This paper introduces Anticipatory Reinforcement Learning (ARL), a novel framework designed to bridge the gap between non-Markovian decision processes and classical reinforcement learning architecture",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Measuring Strategy-Decay Risk: Minimum Regime Performance and the Durability of Systematic Investing",
      "authors": "Nolan Alexander, Frank Fabozzi",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.08356v1",
      "date": "2026-04-09",
      "abstract": "Systematic investment strategies are exposed to a subtle but pervasive vulnerability: the progressive erosion of their effectiveness as market regimes change. Traditional risk measures, designed to capture volatility or drawdowns, overlook this form of structural fragility. This article introduces a quantitative framework for assessing the durability of systematic strategies through minimum regime performance (MRP), defined as the lowest realized risk-adjusted return across distinct historical r...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "By translating the persistence of investment efficacy into a measurable quantity, the framework provides investors with a practical diagnostic for identifying and managing strategy-decay risk, a novel",
      "backtestable": true,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Financial Relativity: An Information-Geometric Interpretation of Asset Pricing",
      "authors": "Li Lin",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.03961v1",
      "date": "2026-04-05",
      "abstract": "Classical asset pricing relies on the risk-neutral measure $Q$ for valuation, yet its economic interpretation is typically anchored in a physical measure $P$. This creates an inherent asymmetry: pricing is governed by $Q$, while meaning resides in $P$, making it difficult to provide a unified account of asset pricing within a single conceptual framework. This paper proposes an alternative perspective based on information geometry, termed Financial Relativity. Its central principle is the relativ...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "This paper proposes an alternative perspective based on information geometry, termed Financial Relativity.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Subjective Earnings and Employment Dynamics",
      "authors": "Manuel Arellano, Orazio Attanasio, Margherita Borella, Mariacristina De Nardi, Gonzalo Paz-Pardo",
      "source": "nber",
      "url": "https://www.nber.org/papers/w35027#fromrss",
      "date": "2026-04-10",
      "abstract": "We develop a new approach to estimating earnings, job, and employment dynamics using subjective expectations data from the NY Fed Survey of Consumer Expectations. These data provide beliefs about future earnings offers and acceptance probabilities, offering direct information on counterfactual outcomes and enabling identification under weaker assumptions. Our framework avoids biases from selection and unobserved heterogeneity that affect models using realized outcomes. First-step fixed-effects r...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "We find lower risk and persistence of the individual productivity component than in prior work, but greater heterogeneity in ability and match quality.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Measuring Organizational Capital",
      "authors": "Wei Cai, Andrea Prat, Jiehang Yu",
      "source": "nber",
      "url": "https://www.nber.org/papers/w35039#fromrss",
      "date": "2026-04-10",
      "abstract": "Prior research has pointed to differences in organizational capital as a reason for the persistent performance discrepancies among otherwise similar firms. In this paper, we develop and validate a new measure of organizational capital. Based on over a million crowd-sourced employee reviews scraped from Glassdoor, we construct the measure of organizational capital at the firm-year level using the word embedding model and ChatGPT-generated synthetic reviews. Our measure varies over time in accorda...",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "Our findings suggest that this measure captures a slowly evolving intangible asset that is significantly associated with firm performance and top management\u2019s influence, aligning with the conceptualiz",
      "backtestable": true,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Capital in the Capitol: Congressional Trades Resemble Uninformed Retail Trading",
      "authors": "Haotian Chen, Bruce Sacerdote",
      "source": "nber",
      "url": "https://www.nber.org/papers/w35041#fromrss",
      "date": "2026-04-10",
      "abstract": "Do elected officials exploit informational advantages for personal financial gain? This question has attracted heightened attention amid increased scrutiny of congressional stock trading, particularly following the COVID-19 pandemic. Prior research finds little evidence that legislators outperform the market, but existing studies rely on limited time periods and offer limited insight into the mechanisms underlying trade timing. We revisit this question by constructing a novel dataset covering th...",
      "relevance_score": 4,
      "relevance_tags": [
        "order_flow",
        "retail_flow"
      ],
      "key_finding": "We find that, on average, legislators\u2019 portfolios underperform or, at best, match market benchmarks after the STOCK Act.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "What Is Gamma Exposure? An In-Depth Analysis for Traders - Cheddar Flow",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.cheddarflow.com/blog/what-is-gamma-exposure-an-in-depth-analysis-for-traders/",
      "date": "2026-04-10",
      "abstract": "As time approaches expiration, that gravitational effect can become stronger if the strike remains near the underlying\u2019s trading level. On <strong>November 17th, 2025, we noted that GEX exposure was rapidly building at the 670 strike</strong>.",
      "relevance_score": 4,
      "relevance_tags": [
        "gamma"
      ],
      "key_finding": "On <strong>November 17th, 2025, we noted that GEX exposure was rapidly building at the 670 strike</strong>.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Weekly Options on Stock Pinning",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.wpunj.edu/Weekly%20Options%20on%20Stock%20Pinning%20upto%20page%208.pdf",
      "date": "2026-04-10",
      "abstract": "To investigate the possible reasons for stock pinning, we obtain several additional option \u00b7 variables. In particular, we obtain the trading volume of the at-the-money calls and puts on \u00b7 expiration day (VolExp) and the open interest of the at-the-money calls and puts on the day before",
      "relevance_score": 4,
      "relevance_tags": [
        "pinning"
      ],
      "key_finding": "In particular, we obtain the trading volume of the at-the-money calls and puts on \u00b7 expiration day (VolExp) and the open interest of the at-the-money calls and puts on the day before",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "CME Group Equity Index Options \u2013 A Quick Look at the Current State of Play - CME Group",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.cmegroup.com/articles/2025/equity-index-options-state-of-play.html",
      "date": "2026-04-10",
      "abstract": "[3] For order risk mitigation methodology available for market makers on CME Globex, please see CME Group Mass Quote Protections. [4] For more information on pre-hedging of option block trades, please see Question 13 listed on the CME Group Market Regulation Advisory Notice (MRAN) [5] To adjust for homogenized contract value factors, the CME Group positions have been scaled up by a factor of 2 as the ES contract represents $50 x S&amp;P 500 Index, while SPX represents $100 x S&amp;P 500 Index.",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "[4] For more information on pre-hedging of option block trades, please see Question 13 listed on the CME Group Market Regulation Advisory Notice (MRAN) [5] To adjust for homogenized contract value fac",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "GEXStream - Real-Time Gamma Exposure Analytics for Options Traders",
      "authors": "Unknown",
      "source": "web",
      "url": "https://gexstream.com/",
      "date": "2026-04-10",
      "abstract": "Real-time options gamma exposure analytics and dealer positioning insights for professional traders. Track GEX ratios, market maker positioning, and options flow across S&amp;P 500 stocks and ETFs.",
      "relevance_score": 4,
      "relevance_tags": [
        "gamma"
      ],
      "key_finding": "Track GEX ratios, market maker positioning, and options flow across S&amp;P 500 stocks and ETFs.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Riding the Gamma Squeeze: How Options Hedgin... | Alpha Learning",
      "authors": "Unknown",
      "source": "web",
      "url": "https://stockalpha.ai/alpha-learning/riding-the-gamma-squeeze-how-options-hedging-fuels-stock-surges",
      "date": "2026-04-10",
      "abstract": "A concentrated cluster of near-term call open interest can therefore create significant hedging flow for the underlying. ... At the end of the day this is simply a delta feedback loop. You can think of dealers as forced participants who provide liquidity in calm markets but become trend amplifiers when gamma is concentrated. To assess whether a gamma squeeze is possible you need to combine options data, on-chain order flow signals, and stock-specific supply metrics.",
      "relevance_score": 4,
      "relevance_tags": [
        "order_flow"
      ],
      "key_finding": "To assess whether a gamma squeeze is possible you need to combine options data, on-chain order flow signals, and stock-specific supply metrics.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "What Is a Gamma Squeeze? How It Works and How to Identify One \u2013 SpotGamma Support Center",
      "authors": "Unknown",
      "source": "web",
      "url": "https://support.spotgamma.com/hc/en-us/articles/31612163559955-What-Is-a-Gamma-Squeeze-How-It-Works-and-How-to-Identify-One",
      "date": "2026-04-10",
      "abstract": "Expiration \u2014 when options expire, open interest zeroes out and the hedging obligation simply ceases. Reversal dynamics \u2014 once the squeeze peak is in, the same mechanics can run in reverse as dealer positions unwind, accelerating the selloff. The end of a gamma squeeze is often as fast as its beginning.",
      "relevance_score": 4,
      "relevance_tags": [
        "mean_reversion"
      ],
      "key_finding": "The end of a gamma squeeze is often as fast as its beginning.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Gamma Squeeze Explained Guide - MenthorQ",
      "authors": "Unknown",
      "source": "web",
      "url": "https://menthorq.com/guide/gamma-squeeze-explained/",
      "date": "2026-04-10",
      "abstract": "If the market moves toward a gamma-neutral zone, dealers may flip from short gamma to long gamma. If the market crosses resistance zones loaded with short gamma, the hedging response may turn into a buying cascade. This flow is entirely mechanical\u2014it\u2019s not about investors becoming bullish, but about how dealers must respond to price and volatility changes to stay hedged.",
      "relevance_score": 4,
      "relevance_tags": [],
      "key_finding": "This flow is entirely mechanical\u2014it\u2019s not about investors becoming bullish, but about how dealers must respond to price and volatility changes to stay hedged.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "How to Spot Buying Opportunities in Options Order Flow | Nasdaq",
      "authors": "Unknown",
      "source": "web",
      "url": "https://www.nasdaq.com/articles/how-to-spot-buying-opportunities-in-options-order-flow",
      "date": "2026-04-10",
      "abstract": "In summary, to identify buying ... to <strong>analyze the trade side distribution data, the relationship between volume and open interest (both intraday and historically), and how the price and implied volatility have shifted</strong>...",
      "relevance_score": 4,
      "relevance_tags": [
        "order_flow",
        "options_microstructure",
        "intraday",
        "volatility"
      ],
      "key_finding": "to <strong>analyze the trade side distribution data, the relationship between volume and open interest (both intraday and historically), and how the price and implied volatility have shifted</strong>.",
      "backtestable": false,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "Beyond Black-Scholes: A Computational Framework for Option Pricing Using Heston, GARCH, and Jump Diffusion Models",
      "authors": "Karmanpartap Singh Sidhu, Pranshi Saxena",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.06068v1",
      "date": "2026-04-07",
      "abstract": "This research addresses accurate option pricing by employing models beyond the traditional Black-Scholes framework. While Black-Scholes provides a closed-form solution, it is limited by assumptions of constant volatility, no dividends, and continuous price movements. To overcome these limitations, we use Monte Carlo simulation alongside the GARCH model, Heston stochastic volatility model, and Merton jump-diffusion model. The Black-Scholes-Monte Carlo method simulates diverse stock price paths us...",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "Results show the Heston model consistently produces estimates closer to market prices, while the Merton model performs well for volatile assets with sudden price movements.",
      "backtestable": true,
      "data_we_have": true,
      "priority": "LOW"
    },
    {
      "title": "$\u03b1$-robust utility maximization with intractable claims: A quantile optimization approach",
      "authors": "Xinyu Chen, Zuo Quan Xu",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.04649v1",
      "date": "2026-04-06",
      "abstract": "This paper studies an $\u03b1$-robust utility maximization problem where an investor faces an intractable claim -- an exogenous contingent claim with known marginal distribution but unspecified dependence structure with financial market returns. The $\u03b1$-robust criterion interpolates between worst-case ($\u03b1=0$) and best-case ($\u03b1=1$) evaluations, generalizing both extremes through a continuous ambiguity attitude parameter. For weighted exponential utilities, we establish via rearrangement inequalities a...",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "This paper studies an $\u03b1$-robust utility maximization problem where an investor faces an intractable claim -- an exogenous contingent claim with known marginal distribution but unspecified dependence ",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Dividend ratcheting and capital injection under the Cram\u00e9r-Lundberg model: Strong solution and optimal strategy",
      "authors": "Chonghu Guan, Zuo Quan Xu",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.04641v1",
      "date": "2026-04-06",
      "abstract": "We consider an optimal dividend payout problem for an insurance company whose surplus follows the classical Cram\u00e9r-Lundberg model. The dividend rate is subject to a ratcheting constraint (i.e., it must be nondecreasing over time), and the company may inject capital at a proportional cost to avoid ruin. This problem gives rise to a stochastic control problem with a self-path-dependent control constraint, costly capital injections, and jump-diffusion dynamics. The associated Hamilton-Jacobi-Bellma...",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "Our work advances the mathematical theory of optimal stochastic control beyond the standard viscosity solution framework, providing a rigorous foundation for dividend policy design in economics.",
      "backtestable": true,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Asset allocation using a Markov process of clustered efficient frontier coefficients states",
      "authors": "Nolan Alexander, William Scherer, Jamey Thompson",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2604.03946v1",
      "date": "2026-04-05",
      "abstract": "We propose a novel asset allocation model using a Markov process of states defined by clustered efficient frontier coefficients. While most research in Markov models of the market characterize regimes using return and volatility, we instead propose characterizing these states using efficient frontiers, which provide more information on the interactions of underlying assets that comprise the market. Efficient frontiers can be decomposed to their functional form, a square-root second-order polynom...",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "We propose a novel asset allocation model using a Markov process of states defined by clustered efficient frontier coefficients.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    },
    {
      "title": "Why Do Americans No Longer Work So Much More Than Non-Americans?",
      "authors": "Serdar Birinci, Loukas Karabarbounis, Kurt See",
      "source": "nber",
      "url": "https://www.nber.org/papers/w35020#fromrss",
      "date": "2026-04-10",
      "abstract": "In the 1990s, Americans used to work much more than non-Americans. Nowadays, about half of the gap in hours worked has reversed. To evaluate the convergence of working hours, we develop a tractable  model of labor supply enriched with multiple sources of heterogeneity across individuals, an extensive margin of participation, multi-member households, and an elaborate system of taxes and benefits upon non-employment. Using detailed measurements from micro-level and aggregate datasets, we identify ...",
      "relevance_score": 3,
      "relevance_tags": [],
      "key_finding": "For these countries, the rise of labor supply is generally accounted for by a mix of factors, such as the rise of wages and the falling disutility of work.",
      "backtestable": false,
      "data_we_have": false,
      "priority": "LOW"
    }
  ]
}