Backtesting Investment Strategies with Historical Data
How to backtest an investment strategy on historical data: setup, pitfalls like survivorship bias, and reading results honestly.
Read articleBrowse structured reads designed to help Indian investors analyse topics more clearly before moving from reading into research.
Guides to research workflows, comparison tools, and data-led analysis for stocks, mutual funds, ETFs, and portfolios.Use these articles to understand how better tools can make research more repeatable and less reactive.
How to backtest an investment strategy on historical data: setup, pitfalls like survivorship bias, and reading results honestly.
Read articleWhat analyst recommendations are worth in Indian markets: the incentives behind ratings, the hit rates, and better data to rely on.
Read articleDo analyst earnings upgrades predict outperformance in Indian stocks? The evidence, the caveats, and how to use upgrades in a screen.
Read articleWe tested whether analyst target prices predict stock returns in India. The data says: less than you think. Here's what works better.
Read articleWhat variance drain is, how it eats into compounded returns, and how diversification across assets reduces it — with worked examples.
Read articleThe evidence on portfolio rebalancing: when it adds return, when it just adds churn, and practical rules for doing it right.
Read articleVolatility drag explained: why two portfolios with the same average return end at very different values, and how to reduce the drag.
Read articleA dynamic-programming approach to financial goal planning that adapts your asset mix as markets move — the method and the math, explained.
Read articleHow traditional financial goal planning works — goal buckets, expected returns and SIP mapping — and where the standard approach falls short.
Read article