Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
20,364 documents
The document discusses implementing the nine Piotroski F-score signals with company financial data. The response treats the questions as accounting and data-mapping issues, and recommends consulting the original research for precise definitions. It suggests…
The answer explains the micro-price as an expected future price conditioned on order-book information, using imbalance and bid-ask spread as example state variables. Because the price level need not be stationary, the model focuses on increments and tracks…
The document derives the fixed rate that makes the present values of a swap’s fixed and floating legs equal under a single-curve framework. It first expresses each leg as a discounted sum of accrual-period cash flows, then solves for the fixed rate as the…
The document outlines an attempted replication of a study modeling daily Athens Stock Exchange returns with an AR(1)-GARCH-M(1,1) specification. Its conditional variance includes the usual ARCH and GARCH terms plus squared inputs from a Feigenbaum chaotic…
The document asks how to source long-run US stock end-of-day data that records official opening and closing prices from each listing exchange’s auctions. It distinguishes those prices from consolidated-tape values that providers may derive from the first and…
The document lays out a broad study checklist for financial risk management. Its product areas include fixed income, equities, currencies, commodities, exotics, and credit derivatives. The concepts span risk and return, hedging, risk neutrality, no-arbitrage…
The document explains percent change as the price difference measured relative to the original price. Divide the change by the original price and multiply by one hundred to express the result as a percentage. The question explores whether the percent sign…
The document asks what options are represented by root symbols that begin with a digit and end with a stock ticker, using an adjusted-options example in which a root differs from the underlying ticker. The answer identifies these series as Flex options. Flex…
The document defines the close-to-open return for each stock on day t as that day’s opening price divided by the prior day’s close, minus one. The question asks how to calculate this daily across multiple stocks without a loop, using separate data frames for…
The document explains how to forecast a lower-tail, two-day Value at Risk (VaR) from a Gaussian GARCH(1,1) model and how to evaluate the forecasts. Rather than using the fitted, in-sample quantiles as the main backtest, the accepted answer recommends…
The document distinguishes quantifiable risk, Knightian uncertainty, and Black Swan events using examples from option and credit pricing. One explanation treats ordinary risk as an event with a probability that can be estimated from market prices, Knightian…
The document considers tokens that pay out a fixed prize to the holder or holders with the largest position at a deadline. Because token value depends on how holdings compare across participants, ordinary arbitrage pricing is not enough to determine value.…
The document asks why a life insurance reserve simulated with stock returns appears smoother than the underlying geometric Brownian motion. Its reserve equation combines investment returns, premium income, and mortality-related benefit payments. The author…
The document discusses how to choose the decay factor, lambda, in an exponentially weighted moving average model when estimating correlations. It says familiar RiskMetrics values for daily and monthly observations are not universal recommendations for yearly…
The document introduces Generalized Information Share (GIS) as an extension of Hasbrouck's Information Share for assessing how different markets or information sources contribute to price discovery. It outlines a suggested workflow: fit a vector…
The document sketches a scalable way for a broker to monitor account equity against maintenance margin across many clients and instruments. Represent each account's positions as a row in a client-by-instrument matrix, and current instrument prices as a…
The document challenges the idea that a minimum viable holding period can be derived from transaction costs independently of a strategy. Trading costs depend on how a strategy trades: for example, momentum may demand buying after prices have risen, while…
The document explains how the Carr–Madan identity represents a sufficiently smooth terminal payoff using a fixed component, a linear exposure to the underlying, and a continuum of puts and calls across strikes. The terminal price is a random future value in…
The document explains how to fit Nelson–Siegel–Svensson (NSS) parameters to observed bond prices. Each bond is represented by its cash flows and their times to payment; each cash flow is discounted using the spot-rate curve implied by a candidate parameter…
The document asks whether a proposed constrained portfolio optimization setup correctly represents Kelly growth, how its portfolio curve relates to the familiar Kelly parabola, and how Kelly allocation differs from Markowitz mean-variance analysis. The…
The answer explains conditional likelihood as a way to estimate models in which the distribution of observations changes over time. In a standard maximum likelihood setup, the same parameter values govern each observation. With time-varying parameters, each…
The document explains how a long option’s gamma profit and loss relates to realized volatility versus the implied volatility used to price it. Under the stated continuous hedging formula, the gamma component is positive when realized variance exceeds implied…
The document discusses why researchers use moving averages, MACD, RSI, and related transformations as inputs instead of raw financial time series. The responses offer several possible roles: smoothing noisy observations, representing momentum through…
The document concerns fitting a residual distribution after an ARMA–GARCH model, using a kernel density estimate for the center and peaks-over-threshold methods for the tails. The question asks whether a generalized Pareto distribution should cover every…