New on FinoLib · Volume II: Capital Markets
I have added a new article to FinoLib, my finance education website: Hedge Fund Strategies: Macro, Event-Driven and Quant, part of Volume II: Capital Markets. This page gives you the core of the topic in expert but plain language; the full article goes much deeper.
8.3 Macro and Event-Driven Strategies
The idea in plain words
A global macro fund trades big-picture views on interest rates, currencies and government risk. An event-driven fund trades specific corporate events, such as mergers and bankruptcies. In merger arbitrage, the gap between the offer price and the market price reflects the chance the deal falls through. So the trade is a small, likely gain against a large, unlikely loss, much like selling insurance.
Key points
■Spread = (deal value − price) ÷ price; 5.26% over six months is 10.8% a year compounded.
■Implied completion probability = (price − break price) ÷ (offer − break price): 79% before interest, 87% after, in the example.
■With your own 85/10/5 view the expected return is 3.26% in six months; the trade loses money on average above a 22.9% break probability.
A closer look
Global macro funds trade based on top-down views of entire economies and asset classes — interest rate direction, currency moves, sovereign risk — using instruments from across this Volume (bonds, currency swaps, index futures) rather than individual company analysis; this is the strategy behind famous macro trades like betting against a currency peg. Event-driven strategies instead trade around specific, identifiable corporate events: merger arbitrage (buying the target after a deal is announced, and in a stock-for-stock deal also shorting the acquirer, profiting from the spread between the current market price and the announced deal price, betting the deal closes as announced) and distressed debt investing (buying the bonds of a financially troubled company at a deep discount, betting on a favorable recovery through restructuring or bankruptcy).
Decision rule
Never judge a deal by its annualized spread alone. Estimate the break price, compute the market’s implied completion probability after interest, and enter only if your own probability, built from antitrust overlap, financing, shareholder vote and regulatory timetable, is clearly higher (as a heuristic, at least 5 percentage points). Size the position so that a break, a loss of several times the spread (3.8 times in the example), costs no more than about 1% to 2% of the portfolio.
The costliest mistake
Treating the spread as a bond yield. A 10.8% annualized spread looks like high-yield income, but its downside is equity-like: in the example one break loses $9.50, the gain from 3.8 completed deals, and in the Capri case a 37% expected gain turned into a 45% loss in a day. Concentrating in a few large, antitrust-sensitive deals, or levering the book because the realized volatility was low, turns a steady strategy into a single bet on a court ruling.
Recap
Macro funds trade top-down views; event-driven funds trade mergers and distress. A merger spread prices deal risk: compute the annualized spread, estimate the break price, back out the implied completion probability, and size the position so that a break, worth several completed deals, is survivable.
8.4 Quantitative Strategies
The idea in plain words
Quantitative strategies follow systematic rules at large scale, from pairs trades and statistical arbitrage to high-frequency market making. Their edge comes from making many small, independent bets, like a casino earning a little on every hand. Whether that edge survives depends on trading costs and on how crowded the strategy has become.
Key points
■Fundamental law: information ratio ≈ IC × √breadth; IC 0.02 on 2,500 bets beats IC 0.10 on 20.
■Thousands of positions loaded on one factor are one bet, not thousands.
■At 200 trades a year, one extra basis point of cost halves a 4% net return.
Decision rule
Back a systematic signal only if its expected edge per trade is at least twice its all-in trading cost (commission, spread and market impact at the intended size), its backtest survives out-of-sample data the designer did not see, and its positions are not the same factor bet under another name. If a pairs spread moves beyond about 4 standard deviations, assume the relationship may have broken and cut the position rather than adding to it; the 2-standard-deviation entry rule assumes the past distribution still holds.
The costliest mistake
Running a crowded strategy with leverage. In the week of August 6, 2007, many quantitative long/short equity funds suffered what Khandani and Lo (2008) called “unprecedented losses”: similar portfolios, typically long cheap stocks (high book-to-market) and short those with strong earnings momentum, were unwound together as funds deleveraged, and market makers withdrew risk capital from August 8. Each fund’s diversification was an illusion because its neighbors held the same trades.
What the full article covers
In the full article I take you through these sections:
■8.3 Macro and Event-Driven Strategies
■8.4 Quantitative Strategies
It includes worked examples, a look under the hood at the mechanics, a clear decision rule, the one mistake that costs people the most, a recap, a reveal-on-click quiz and the official sources behind every figure.
Volume II: Capital Markets
Read the full article on FinoLib
The complete article, Hedge Fund Strategies: Macro, Event-Driven and Quant, with every worked example, diagram, quiz and source, is free to read in Volume II, Capital Markets on finolib.com.
Explore the Finance Education Series: Vol. II — Capital Markets · Vol. I — Global Economy · Vol. III — Finance Encyclopedia · Vol. IV — Finance Careers · Vol. V — Personal Finance