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Equity Market Structure
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Equity Market Structure — The Trading Jungle (CFA Level I)
"Markets are where prices are discovered and egos are tested." — Probably a tired market maker
You already know what companies are (Corporate Finance fundamentals) and what kinds of equity instruments they can issue (see: Types of Equity Securities). You also know that a firm’s capital mix and governance shape risk and return (Corporate Governance; Leverage Concepts). Now let’s zoom out: how do shares actually move from seller to buyer? That’s equity market structure — the plumbing, politics, and performance of how equities trade. Buckle up.
Why this matters (and why CFA candidates should care)
- Price discovery: Market structure determines how quickly and accurately a fair price is found.
- Transaction cost & liquidity: Affects expected returns and execution decisions you’ll recommend on the job.
- Risk management: Settlement, margin, and shorting rules interact with corporate leverage and governance to amplify or dampen volatility.
Question: imagine a perfectly liquid market. How would your valuation models change when you can buy or sell any amount at the quoted price?
Big-picture taxonomy
Primary vs Secondary markets
- Primary market: where new issues are sold (IPOs, follow-ons). Investment banks, underwriting, and prospectuses live here. Ties back to corporate governance: listing requirements force transparency.
- Secondary market: where existing shares are traded between investors. This is the usual daily theatre.
Exchange vs OTC vs Dark pools
- Exchanges: Centralized venues (NYSE, NASDAQ). Visible order books, regulated, listing standards.
- OTC (over-the-counter): Decentralized dealer networks. Often for smaller or less liquid names.
- Dark pools: Private venues that hide order size to reduce market impact. Good for big trades, controversial for transparency.
| Venue | Visibility | Best for | Regulatory oversight |
|---|---|---|---|
| Exchange | High (public order book) | Price discovery, retail | Strong |
| OTC | Low-medium | Illiquid or bespoke trades | Moderate |
| Dark pools | Low | Block trades, reduce impact | Scrutinized |
Who’s playing? (Market participants)
- Retail investors — small, many, sometimes unlucky timing
- Institutional investors — mutual funds, pension funds, hedge funds; big order flow, big influence
- Brokers — agents who execute orders for clients
- Dealers / Market makers — provide liquidity by quoting bid-ask spreads
- ECNs (Electronic Communication Networks) — match orders electronically
- High-frequency traders (HFTs) — speed demons that profit from tiny spreads and latency arbitrage
Pro tip: Market makers are like the restaurant staff of markets — they keep the place running and expect a tip (spread) for the hassle.
How trading actually happens (mechanics)
Orders and execution
- Market order: execute now at the best available price (fast, but price uncertain)
- Limit order: execute only at a specified price or better (price certain, execution not)
- Stop order: triggers a market order when a price is hit (used for protection)
Code-ish pseudocode for a limit order book match:
if incoming_order.type == 'buy' then
match with lowest ask(s) until buy quantity filled or asks exhausted
if unfilled then place remaining as bid in book
end
Bid-ask spread & liquidity
- Spread = ask - bid. Compensates liquidity providers for risk, inventory, and trouble.
- Liquid market = tight spreads + deep book + low price impact
Imagine trying to sell a giant block of shares in a sleepy stock: that giant sell order will walk the book and lower the price — that’s market impact (and pain).
Settlement & clearing
- Typical settlement cycle for equities in many jurisdictions is T+2 (trade date plus two business days). Clearinghouses net trades and guarantee settlement — critical to reduce counterparty risk.
Advanced bits that CFA loves to ask about
Short selling and borrowing
- Short selling borrows stock to sell now and buy back later expecting price fall.
- Market structure rules on short-selling (naked short bans, uptick rules) affect liquidity and volatility.
Margin and leverage interaction
- Margin accounts let investors borrow to amplify positions. This links back to Leverage Concepts: when margin calls happen in a downturn, forced selling can cascade — prices fall, leverage constraints bite, more selling follows.
Circuit breakers and trading halts
- Exchanges implement pauses when volatility is extreme to give time to digest news. These are blunt tools to prevent disorderly markets — useful, but can delay price discovery.
Algorithmic trading & HFT
- Algorithms break big orders into slices and execute with rules. HFTs provide liquidity but can also exacerbate flash crashes if their models synchronously withdraw.
Regulation & governance connections
- Listing requirements (corporate governance link): To list on an exchange, firms meet financial, disclosure, and governance standards — this affects investor confidence and liquidity.
- Market regulation: Securities regulators (SEC, FCA, etc.) oversee fair trading, insider trading rules, and market structure (e.g., MiFID II in Europe).
Think: a firm with weak governance might face lower liquidity and wider spreads because investors demand risk premium for poor transparency.
Real-world example (mini case)
Large pension fund wants to sell 5% of a small-cap company. If they dump via market orders on an exchange, the price collapses. Better approach: negotiate block trade in a dark pool or use algorithmic slicing to minimize market impact. But dark pools reduce transparency — regulators watch this carefully.
Question: what happens to the company’s cost of equity if liquidity permanently dries up after this dump? (Hint: higher expected returns demanded by investors)
Common pitfalls & exam hooks
- Don’t confuse primary and secondary markets.
- Remember settlement cycles — these show up in questions about counterparty risk.
- Know how bid-ask spreads relate to liquidity and transaction costs; spreads matter for realized return, not just quoted price.
- Connect leverage/margin rules to market crashes and forced selling in scenario analysis.
Closing — TL;DR and takeaways
- Market structure = the ecosystem that turns valuation into tradable reality. It governs how price discovery, liquidity, and execution work.
- Know the players (retail, institutional, brokers, dealers, HFTs), the venues (exchanges, OTC, dark pools), and the tools (order types, clearing, margin).
- Link it back: corporate governance and leverage shape a stock’s liquidity and risk profile — and in turn, market structure (rules & participants) shapes realized returns and volatility.
Final exam-style thought: A firm with strong governance and low leverage trades on a deep exchange with tight spreads. How does that combination affect the firm’s cost of equity, and why?
Answer that, and you’ve not only learned market structure — you’ve started thinking like someone who can actually trade or evaluate trades intelligently. Go forth and make markets slightly more comprehensible (and less terrifying). Good luck, future PMs and analysts.
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