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Treynor Ratio & Market Timing: Rewarding Beta Risk

Treynor Ratio & Market Timing: Rewarding Beta Risk

by Fatih | Jun 2, 2025 | Investing Tools and Regulations

What Is the Treynor Ratio? The Treynor Ratio is a financial metric used to evaluate the returns of an investment portfolio in relation to its exposure to systematic risk, measured by Beta. It was introduced by Jack Treynor, one of the fathers of modern portfolio...
Active Share & Active Return: Are You Really Beating the Market?

Active Share & Active Return: Are You Really Beating the Market?

by Fatih | Jun 2, 2025 | Investing Tools and Regulations

Introduction In the world of portfolio management, terms like ‘active management’ and ‘benchmark-beating performance’ are often thrown around. But how do you actually measure how active a fund is, and whether it’s truly adding value? Two...
Beta, Volatility & Systematic Risk: Understanding Market Exposure

Beta, Volatility & Systematic Risk: Understanding Market Exposure

by Fatih | Jun 2, 2025 | Investing Tools and Regulations

Introduction – Why Market Exposure Matters Every investor wants higher returns, but few understand the underlying risks they’re exposed to. Two key metrics that help you evaluate your portfolio’s sensitivity to the market are Beta and Volatility. These are directly...
Maximum Drawdown – Your Portfolio’s Pain Threshold

Maximum Drawdown – Your Portfolio’s Pain Threshold

by Fatih | Jun 2, 2025 | Investing Tools and Regulations

Introduction: Why Maximum Drawdown Matters When markets fall, emotions rise. Fear, uncertainty, and regret often take the wheel when portfolios experience a major decline. But how do we quantify this pain? Enter **Maximum Drawdown (MDD)** — one of the most powerful...
Conditional VaR (CVaR) – Looking Beyond the Worst Case

Conditional VaR (CVaR) – Looking Beyond the Worst Case

by Fatih | Jun 2, 2025 | Investing Tools and Regulations

Introduction: Why CVaR Matters More Than You Think Most investors have heard of Value at Risk (VaR), a popular measure used to estimate the maximum expected loss over a given time frame with a specific confidence level. But VaR only tells part of the story. It tells...
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