Papers, wiki, Option Blackboard, encyclopedia, and cards.
This paper proposes a unified adaptive portfolio-management framework that combines factor-based view generation, Black-Litterman (BL) posterior estimation, EWMA covariance estimation, and mean-variance optimization. The key mechanism is a dynamic sliding window that adjusts the estimation horizon according to realized portfolio volatility, thereby updating factor estimates, BL posterior expected returns, and portfol…
Factor models are essential tools for understanding asset returns. Statistical factor models such as principal component analysis (PCA) and autoencoders have been widely used to reduce the high-dimensional panels of returns into a lower-dimensional latent space. Although effective at retaining much of the original variance, these models often lack inherent economic interpretation and rely solely on historical data, f…
We revisit the Bayesian Black-Litterman (BL) portfolio model and remove its reliance on subjective investor views. Classical BL requires an investor "view": a forecast vector $q$ and its uncertainty matrix $Ω$ that describe how much a chosen portfolio should outperform the market. Our key idea is to treat $(q,Ω)$ as latent variables and learn them from market data within a single Bayesian network. Consequently, the r…
As a model-free algorithm, deep reinforcement learning (DRL) agent learns and makes decisions by interacting with the environment in an unsupervised way. In recent years, DRL algorithms have been widely applied by scholars for portfolio optimization in consecutive trading periods, since the DRL agent can dynamically adapt to market changes and does not rely on the specification of the joint dynamics across the assets…
In this paper, we study the Black-Litterman (BL) asset allocation model (Black and Litterman, 1990) under the hidden truncation skew-normal distribution (Arnold and Beaver, 2000). In particular, when returns are assumed to follow this skew normal distribution, we show that the posterior returns, after incorporating views, are also skew normal. By using Simaan three moments risk model (Simaan, 1993), we could then obt…
In its capacity as debt issuer, the state has played a growing role in financial life over the last 30 years. To examine this role and connect it to shadow banking, the paper develops the concept of the ‘repo trinity’, which captures a set of policy objectives that central banks outlined after the 1998 Russian crisis, the first systemic crisis of collateral-based finance. The repo trinity connected financial stabilit…
The arrival of public information in the U.S. Treasury market sets off a two‐stage adjustment process for prices, trading volume, and bid‐ask spreads. In a brief first stage, the release of a major macroeconomic announcement induces a sharp and nearly instantaneous price change with a reduction in trading volume, demonstrating that price reactions to public information do not require trading. The spread widens dramat…
Leverage is strongly related to liquidity in a market and lack of liquidity is considered a cause and/or consequence of the recent financial crisis. A repurchase agreement is a financial instrument where a security is sold simultaneously with an agreement to buy it back at a later date. Repurchase agreements (repos) market size is a very important element in calculating the overall leverage in a financial market. The…
We audit whether candle-based machine-learning models can turn predictions of cryptocurrency extrema or short-horizon outcomes into positive Binance Spot paper policies after assumed costs. Numerical results come from scripted fixed-seed model runs and deterministic simulators; human-supervised AI agents supported the July 20 evidence-integrity revision through literature retrieval, separately tasked critique, artifa…
Retractions serve as an indicator of failures in research integrity, yet most analyses focus on absolute counts rather than risk per paper. We use one of the largest open bibliographic databases to develop incidence metrics normalized by population: retractions per publication and per active author annually. Applying an epidemiological framework that models counts with exposure, we find evidence of exponential growth…
Magnetohydrodynamic (MHD) phenomena play a pivotal role in the design and operation of nuclear fusion systems, where electrically conducting fluids (such as liquid metals or molten salts employed in reactor blankets) interact with magnetic fields of varying intensity and orientation, influencing the resulting flow dynamics. The numerical solution of MHD models entails the resolution of highly nonlinear, multiphysics …
We present a large-scale experimental study of quantum-computing-based molecular simulation carried out on IQM's Sirius 24-qubit superconducting processor, utilizing up to 16 operational qubits. The work employs Sample-based Quantum Diagonalization (SQD) together with the Local Unitary Cluster Jastrow (LUCJ) ansatz to estimate ground-state energies for a set of benchmark molecules, including H$_2$, LiH, BeH$_2$, H$_2…
Protein rotational kinetics are essential for understanding macromolecular behavior in crowded environments, yet measuring these dynamics at solid-liquid interfaces remains a significant challenge due to low signal strengths. Here, we experimentally demonstrate a label-based optical technique for measuring rotational diffusion kinetics using an all-dielectric multilayer stack that sustains both transverse electric an…
Recent evidence suggests that the parameters characterizing the implied volatility surface (IVS) in option prices are unstable. We study whether the resulting predictability patterns may be exploited. In a first stage we model the surface along cross-sectional moneyness and maturity dimensions. In a second stage we model the dynamics of the first-stage coefficients. We find that the movements of the S&P 500 IVS a…
This paper presents a method for forecasting limit order book durations using a self-exciting flexible residual point process. High-frequency events in modern exchanges exhibit heavy-tailed interarrival times, posing a significant challenge for accurate prediction. The proposed approach incorporates the empirical distributional features of interarrival times while preserving the self-exciting and decay structure. Thi…
Robo-advisors (RAs) are automated portfolio management systems that complement traditional financial advisors by offering lower fees and smaller initial investment requirements. While most existing RAs rely on static, one-period allocation methods, we propose a dynamic, multi-period asset-allocation framework that leverages Model Predictive Control (MPC) to generate suboptimal but practically effective strategies. Ou…
Active portfolio management tries to incorporate any source of meaningful information into the asset selection process. In this contribution we consider qualitative views specified as total orders of the expected asset returns and discuss two different approaches for incorporating this input in a mean-variance portfolio optimization model. In the robust optimization approach we first compute a posterior expectation o…
We examine whether regime-conditioned generative scenarios combined with a convex CVaR allocator improve portfolio decisions under regime shifts. We present MARCD, a generative-to-decision framework with: (i) a Gaussian HMM to infer latent regimes; (ii) a diffusion generator that produces regime-conditioned scenarios; (iii) signal extraction via blended, shrunk moments; and (iv) a governed CVaR epigraph quadratic pro…
VIX term structure tracks the shape of volatility futures across maturities and helps identify whether the market is pricing stable conditions or near-term stress.
A Financial Conditions Index aggregates variables such as rates, credit spreads, equities, and the dollar to measure how supportive or restrictive the market environment is for growth and risk assets.
Structured orchestration of tools, models, and memory into repeatable decision pipelines.
Option-Adjusted Spread — Spread adjusted for embedded prepayment options in callable bonds and MBS.
Non-Deliverable Forward Market — Offshore price discovery for restricted currencies.
Factor Momentum — Persistence in relative factor performance exploitable by systematic overlays.
Quality Factor — Exposure to profitable, stable balance-sheet companies versus junk quality.
Market Depth — Volume available near best prices — collapses precede volatility spikes.
Net Stable Funding Ratio — Stable funding versus long-term assets — constrains maturity transformation.
Black Scholes Model — Baseline European option pricing framework and Greek engine.
Bloomberg Dollar Spot Index (FX).
Deliverable Forward FX (FX).
Stablecoin Supply (Crypto).
Stablecoin Depeg Risk (Crypto).
Buyback Blackout (Equity).
Best Execution Obligation (Systems).
Material Nonpublic Information — Information restrictions in research and trading.
Available for Sale Securities (Banking).
Crowding Out — Public borrowing raising rates and displacing private investment.
Impossible Trinity — Cannot have fixed FX, open capital, and independent policy.
Black Litterman (Quant).
Black Market FX Premium (FX).
Blended Finance (Emerging Markets).
Collective Action Clause — Bond clauses enabling restructuring with majority vote.
Holdout Creditor Problem (Emerging Markets).
Bitcoin Difficulty Adjustment — Periodic retarget of mining difficulty to stabilize block times.
Stablecoin Market Cap (Crypto).
Unitranche Structure — Single blended loan combining senior and subordinated economics.
MREL Requirement — EU minimum requirement for own funds and eligible liabilities.
Twin Deficit Problem (Emerging Markets).
Crowding Out Effect — Public borrowing raising rates and displacing private investment.
Black Litterman Model — Bayesian blend of equilibrium returns and investor views.
Factor Exposure intraday — Quantitative signal, risk, or portfolio-construction building block.
Factor Exposure 1-day — Quantitative signal, risk, or portfolio-construction building block.
Factor Exposure 1-week — Quantitative signal, risk, or portfolio-construction building block.
Factor Exposure 1-month — Quantitative signal, risk, or portfolio-construction building block.
Code-linked scanner pattern that maps front-vol stress, ATM IV, and dealer gamma context into Blackboard + Options Lab actions.
Strategy bridge from Blackboard scanner cards into Options Lab templates without implying live broker execution.
Educational IV × Greeks × surface sandbox already mounted on the Blackboard — synthetic regimes for pedagogy beside the live scanner.
Structured orchestration of tools, models, and memory into repeatable decision pipelines.
Alpha Decay 1-day — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay 1-month — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay 1-week — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay 12-month — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay 3-month — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay 6-month — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay carry — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay core — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay disinflation — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay DM — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay easing — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay EM — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay intraday — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay liquidity-crisis — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay long-short — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay overlay — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay recession — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay reflation — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay risk-off — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay risk-on — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay satellite — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay stagflation — Quantitative signal, risk, or portfolio-construction building block.
Alpha Decay tightening — Quantitative signal, risk, or portfolio-construction building block.
Tracks policy reversal probability, market repricing windows, and timing mismatch between rhetoric and positioning.
A reusable card for converting research papers into buildable strategy or monitoring objects.
A card for tracking cross-currency basis, repo dislocations, and balance-sheet stress as early warning signals.
A serial decision card combining direction filter and time-window filter before execution.