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.
2,013 documents
The document asks how to infer the asset-class weights of a multi-asset fund from its daily returns when the fund’s actual holdings are unknown. The proposed approach regresses fund returns on broad asset-class returns, potentially using rolling windows to…
The document explains how to simulate several random walks whose returns have a chosen correlation structure, for example to illustrate portfolio diversification. It distinguishes correlation between return innovations from cointegration-like relationships…
The document gives a brief, high-level comparison of market risk topics associated with a bank’s trading and banking books. It describes the trading book as capital markets and investment banking positions, such as swaps, stocks, and bonds, and the banking…
The document introduces the challenge of estimating covariance matrices for forecasting future realized volatility across assets. Covariances change over time, and estimating a matrix for many assets involves a large number of parameters, making reliable…
The document considers how to price derivatives whose underlying fund loses value through management fees. Its answer draws on variable annuity pricing, where a fund or fund of funds may provide a guarantee while fees and guarantee costs are deducted from…
The document considers how to estimate the equity beta of a multinational company listed in the Netherlands, whose business spans several regions. A regression against the domestic AEX index is reported to produce a beta below one and a low R-squared,…
The document asks how to estimate the change in a diversified portfolio’s value after a specified upward shock to the S&P 500. It proposes fitting an ordinary least squares regression of portfolio value on the index and multiplying the estimated beta by the…
The document asks how to choose portfolio weights under Fernholz’s Stochastic Portfolio Theory when asset prices follow correlated geometric Brownian motions and the holdings are reset at event-triggered times. The proposed trigger occurs when an asset’s…
The document introduces Cover’s Universal Portfolio as a way to combine many candidate portfolios. Each candidate holds fixed asset proportions and is repeatedly rebalanced; the overall portfolio weights these candidates according to their accumulated…
The document asks how to measure co-movement when the relevant time frame is not fixed, mentioning concordance as a possible approach. The response offers two alternatives. A rolling-window correlation recalculates correlation across successive windows,…
The document compares ways to estimate value at risk and conditional value at risk when only monthly historical returns are available for private equity, hedge fund, and other alternative investment portfolios. It presents historical simulation as a…
The document surveys ways to access Bloomberg data from Python, including requests similar to Excel's BDP and BDH functions. One answer recommends Bloomberg's blpapi as a direct interface and notes that wrappers such as pdblp can simplify use. Other…
The document describes an accrual-style valuation of a total return swap with an index underlying. The asset leg reflects the index’s percentage change since the last reset, applied to an adjusted notional, while accrued coupon and financing amounts use the…
The document raises a problem in estimating short-term statistical factor models from equities trading in markets with different hours. When one market closes before another, their daily returns cover different time intervals. A Japanese stock may respond to…
The document shows how to calculate the future distribution of a binary state that switches between high and low values in continuous time. It represents the process as a two-state continuous-time Markov chain, with one transition rate out of each state.…
The document answers why SONIA retained its name after reform while EONIA was replaced by the euro short-term rate, €STR. It clarifies that both benchmarks were reformed; the distinction is chiefly one of naming. The reformed sterling benchmark continued…
The document asks how to load many years of daily returns for multiple assets from a spreadsheet or CSV into Python, and how to retain the associated dates. The response recommends Pandas as a straightforward tool for reading a CSV into a data structure that…
The document examines a quarterly rebalanced portfolio that combines leveraged stock and long-term Treasury ETFs to approximate a leveraged risk parity allocation. It cautions that recent performance reflected a favorable stretch in which both asset classes…
The article compares Bitget Stock+ with conventional brokerage accounts, focusing on the trading setup around U.S. stocks rather than treating one as real and the other as synthetic. It describes Stock+ as access to real securities through licensed brokerage…
The article surveys equities, fixed income, real estate, commodities, and digital assets as components of long-term portfolios. It describes broad diversification, age- and risk-based allocation, target-date funds, periodic or threshold-based rebalancing,…
The document surveys Polkadot’s relay chain and parachain architecture, nominated proof of stake, parachain auctions, and the DOT token’s inflationary distribution. It also describes the network’s intended interoperability and scalability, its competition…
The article surveys ways decentralized finance technologies may be adopted within traditional financial systems. It focuses on tokenizing real-world assets such as bonds, property, and commodities, and describes potential benefits including improved…
The article compares Bitcoin with the S&P 500 as portfolio exposures, distinguishing a single volatile asset from a diversified, market-cap-weighted equity index. It discusses how both have benefited during periods of easy monetary policy, while Bitcoin may…
The document outlines Algorand’s stated roadmap around decentralization, mainstream adoption, advanced blockchain uses, and post-quantum security. It describes Pure Proof-of-Stake, user and developer tools, tokenization, stablecoins, CBDCs, cross-chain…