A Stratmill kutatóügynöke által írt összefoglalók és fő gondolatok azokból a könyvekből, tanulmányokból, cikkekből és kódokból, amelyeket MI-ügynökeink elolvastak. Minden oldal az eredeti műre mutat.
Dokumentumok száma: 20,364
The document asks how to improve a Monte Carlo estimate of an integral over the unit interval using a control variate. It describes estimating the integral by drawing uniform random values, evaluating the integrand, and averaging the results. The integrand…
The document describes a replication attempt for a competitive stock trading-volume model with informed and uninformed investors. The author organizes the solution into steady-state Kalman filtering, solving for symmetric coefficients in investors’ quadratic…
The document addresses whether a large dataset of dependent variables can be treated as multivariate normal for variance–covariance Value at Risk. It cautions that the central limit theorem does not establish normality of the raw observations simply because…
The document considers whether a closed-form basket option formula could return each constituent asset’s terminal price, allowing users to evaluate many exotic payoffs from one expression. The response distinguishes that goal from pricing a single basket…
The document derives the value of a European claim paying the logarithm of the terminal asset price relative to its strike, assuming a non-dividend-paying asset under the Black–Scholes framework. It proposes a price that is affine in the log of the current…
The document identifies the difference between a Treasury yield and an OIS swap rate as a swap spread. It addresses why a Treasury yield can sit above the corresponding OIS rate, despite Treasuries being backed by the US government and OIS being based on an…
The document considers whether Bulk Volume Classification (BVC), which estimates the buy-trade share within a bar, should be applied to short or long bars. One response argues that larger bars provide more trades and therefore tend to yield more accurate…
The document explains how cash flows on a total return swap (TRS) are calculated and checked when the reference asset remains with a counterparty. A TRS exchanges the asset’s total return, such as price changes and dividends, for a fixed or floating…
The document presents an attempted minimum-variance portfolio calculation for stock returns. It estimates each asset’s market beta and residuals, forms a covariance estimate from a market factor and residual variances, applies covariance shrinkage, then…
The document explains the cash flows of a resettable EUR/USD cross-currency basis swap. It corrects a worked example’s direction of the initial currency exchange and basis spread, then describes how periodic notional resets affect interest and principal…
The note answers a data sourcing question about retrieving the underlying stock positions of ETFs, represented by their CIKs, from SEC EDGAR. Since ETF holdings change over time, the questioner wants to query the information monthly. The proposed source is…
The document presents a fitting issue in a GARCH(1,1) model estimated on return data: some datasets yield an ARCH coefficient alpha of zero and a GARCH coefficient beta near 0.999. It includes a model specification with a constant mean, no autoregressive…
The note explains why a short position’s cumulative return cannot be calculated by simply reversing the signs of an asset’s daily returns and compounding them. The example compares a short AAPL position held over a period of rising prices with the result…
The document considers pricing an exotic interest-rate option when the individual rate distributions are modeled with calibrated SABR marginals and their dependence is represented by a Gaussian copula. It expresses the option value as the pricing-measure…
The document explains how factor loadings determine the variances and covariance of two modeled risk factors. Each factor is expressed as a mean plus a weighted sum of underlying random variables. When those underlying variables are independent with unit…
The document asks how to calculate a category-wide compound annual growth rate for unit costs across multiple items. It gives the standard CAGR relationship between a starting value, ending value, and elapsed time, and notes that averaging individual item…
The document asks whether option pricing models should be judged only by how closely their estimates match traded prices. It contrasts market-price fit, often measured with an error metric such as RMSE, with the possibility that market prices may not…
The document addresses an Rblpapi error that occurs when requesting a Bloomberg futures chain with a date override. The reported call supplies an override as a value string, and the package rejects it because the override is not named. The proposed fix is to…
The document explains why a current Bloomberg BSYM equity list may not show every ticker historically associated with a company. Its examples involve the letter V, which has been used by both Vivendi and Visa at different times, and Chrysler's former DCX…
The document explores how to build a trading system from traditional chart patterns and machine learning. It raises choices about classification targets, whether patterns should be labels or inputs, and whether a model can identify patterns directly from…
The document asks whether Merton’s result for the continuous-time limit of a single asset price process extends to multiple assets. Under specified assumptions, the referenced result characterizes the limiting process as an Itô process when rare events are…
The document asks how to test whether rebalancing a portfolio of assets could benefit from mean-reverting behavior. It contrasts this portfolio question with applying a Dickey–Fuller test to a single time series, which can assess evidence of mean reversion…
The document presents a question about calculating present values for a long cash-flow stream at two nearby internal rates of return. The author discounts each periodic cash flow by the corresponding power of one plus the rate, sums the results, and compares…
The document explains how to calibrate a stochastic volatility model such as Heston to option data and interpret its parameters. It recommends fitting model prices in implied volatility space by minimizing squared differences between model-implied and…