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 discussion asks whether government bond yields or swap rates better represent future short-term interest rates when the swap–bond basis is negative. It outlines possible market pressures on each side: liability hedging and cash constraints may increase…
The document collects responses to a practical problem: historical data queries for the Dow Jones Industrial Average and S&P 500 fail when using Google Finance, although a query for an individual stock succeeds. The replies suggest checking index-specific…
The document discusses a coding question about simulating asset prices in a Least Squares Monte Carlo (LSM) method. The question focuses on formulas used to calculate the conditional log-price mean and volatility at an earlier time step, and asks why the…
The discussion asks what market variable should serve as the input to a variance-covariance matrix for a portfolio of credit derivatives such as credit default swaps. The answer recommends basing risk statistics on observable market quantities. For traded…
This discussion interprets a corporate bond portfolio’s relative weights across short, medium, and long maturity buckets alongside credit-curve movements. Overweight positions in shorter and intermediate buckets, with an underweight in the long bucket, are…
The discussion addresses the intuition that reversing every long and short signal from a losing strategy should produce a winner. It explains why this does not follow: trading costs affect both directions, and a strategy’s rules for entering and exiting…
The discussion compares ways to obtain historical market depth data for research, including specialist vendors, broker APIs, trading platforms, and collecting a dataset over time. It distinguishes consolidated quotes from full-depth exchange feeds, since…
The discussion addresses why IFRS 9 expected credit losses are discounted using the effective interest rate (EIR), rather than treating the calculation as a fair-value valuation discounted at a market rate. The answer distinguishes assets measured at fair…
The discussion explains why a strategy that anticipates underlying price moves and seeks delta exposure may still lose money through vega. For European vanilla calls and puts with the same strike, put-call parity implies equal vega; holding equal and…
The discussion examines the claim that election probabilities should behave like binary option prices and that volatile forecasts violate no-arbitrage principles. The accepted answer challenges this analogy and the claimed volatility rules. It describes a…
The discussion distinguishes quantitative trading from technical analysis by the rigor and breadth of the research process, rather than by how complicated an indicator is. A moving average or signal-processing filter can be used by either a discretionary…
The document explains why swaps manually priced from a QuantLib curve may fail to reproduce the market quotes used to build that curve. In the example, the discrepancies arise because the manually constructed swaps do not exactly match the swap rate helpers’…
The document addresses how to obtain bond prices for calibrating a Hull–White interest-rate model when historical yields are available but historical prices are needed. It points to public, machine-readable reporting of some EU bond quotes and trades…
The document describes a question about extending a Vasicek short-rate simulation to the Hull–White model. It first presents the exact one-step normal transition for a constant-parameter Vasicek process: the conditional mean reverts toward a fixed long-run…
The document compares fair strikes for two LIBOR contracts that reference the same rate fixed at the first maturity but pay at different dates. It derives each strike from discounted expected payoff under the bank account numeraire, then uses a change to the…
The document explains how Fill-or-Kill (FOK) and Immediate-or-Cancel (IOC) limit orders behave when available book liquidity is sufficient or insufficient for the requested quantity. In its example, a buy order for 10 units at a limit price with 15 units…
The document compares two long-term U.S. Treasury bond futures for outright, long-biased trading. It presents Ultra Treasury Bond futures as having a more consistent volatility profile, attributing this to a more homogeneous deliverable basket and an…
The document considers portfolio rebalancing when expected-return signals refresh quarterly but risk estimates update daily. At an interim rebalance, prices have moved while the original alpha forecasts grow stale, creating uncertainty about whether to…
The document interprets an American put valuation expression that integrates discounted exercise payoffs against the probability density of first reaching an exercise boundary. For a proposed exercise curve, the discounted payoff at each time is weighted by…
The document explains that whether to include an intercept in a return regression depends on the hedge objective. Regressing the returns of an asset on other assets produces hedge weights, but the intercept changes what the fit is optimizing. For minimizing…
The document derives a Cox–Ingersoll–Ross process by summing the squares of independent Ornstein–Uhlenbeck processes. Applying Itô’s formula to each squared component produces a mean-reverting drift with a constant term, while the combined stochastic term…
The document asks whether factor volatilities in the multi-factor Heath–Jarrow–Morton framework may be negative. It notes that the drift expression uses products of volatility functions, then reports a reference that explicitly assumes these functions are…
The document considers comparing two portfolio strategies when Monte Carlo simulation produces a collection of Sharpe ratio estimates for each strategy. The response uses an approximate normal sampling distribution for an estimated Sharpe ratio, with…
The document asks how to find the lower five-percent quantile of daily currency returns separately for each month. One response gives a direct spreadsheet method: calculate the fifth percentile of the month's return observations. Another suggests sorting…