Basic Prerequisites: Adverse Selection & Glosten–Milgrom (why informed flow widens a spread) and Inventory Management & Quote Skewing (the single-dealer inventory view). (these are the folder-level prerequisites for pages 02–06; page 01 states its own, smaller, entry requirements)
1. Intuition & Practical Objective
Not every market is an exchange. The most important markets in the world by notional volume - corporate bonds, interest-rate swaps, credit default swaps, FX, mortgage-backed securities, repo, emerging-market debt, bank loans - do not have a central order book. They are over-the-counter: a buyer phones (or messages) a dealer, negotiates a price for a customized trade, and the dealer - a bank - takes the other side onto its own balance sheet. There is no ticker, no tape, no continuous auction. There is a dealer and a negotiation.
This folder is the dealer-banks and OTC markets topic-folder for Pillar 6. It is a hub: it (a) gives you the fast formula-and-model lookup below for the search-and-bargaining equilibrium, and (b) routes you to six sub-pages that walk from zero intuition through the search model, dealer capacity, the failure modes, and the post-2008 clearing architecture. Primary verified sources: Duffie, Gârleanu & Pedersen (2005), Over-the-Counter Markets, Econometrica 73(6) - the anchor model, read from the primary PDF and re-derived here; Duffie (2010), Presidential Address: Asset Price Dynamics with Slow-Moving Capital, JF 65(4) - the dealer-capacity/beltway view; and Duffie (2012), Dark Markets - the book-length capstone. Cross-checked against Hasbrouck Empirical Market Microstructure (Ch 1–2, dealer and search markets).
The one-sentence essence. “An OTC market is a search market: an investor who wants to trade must find a counterparty, and when two meet they bargain - so the price depends not only on fundamentals but on each side’s outside option (how easily each can find someone else), and the bid-ask spread is the price of immediacy a dealer sells.”
2. Mathematical Ground Truth & Derivations
Quick-Reference Lookup (job #1). Formulas are transcribed from Duffie–Gârleanu–Pedersen (2005), Theorem 2 (eqs 14–16) and eq (19), and re-derived in the folder. Every number in the check column was re-executed and reproduced exactly (§3 and the sub-pages).
Notation: discount rate; the dividend loss of a low intrinsic type; the investor-to-investor meeting intensity (search ability); the investor-to-dealer meeting intensity (dealer accessibility); the intensities of switching from low to high / high to low intrinsic type; asset supply per capita; the seller’s bargaining power vs another investor; the dealer’s bargaining power vs an investor; the value function of type ; the seller’s gain from trading, the buyer’s.
| Quantity | Formula | Verified check |
|---|---|---|
| Steady-state high-type mass | ||
| Condition 1 (which side is rationed) | ✓ | |
| Ask (investors buy from dealer) | ||
| Bid (investors sell to dealer) | ||
| Interinvestor price | ||
| Common denominator | - | |
| Bid-ask spread | (the frictionless fundamental surplus is ; search discounts it to ) | ; ✓ |
| Monopolist spread () | (the full above; the search terms do not drop out) | at |
| Nash price between investors | eq (11) | |
| Dealer quotes from bargaining | eqs (12)–(13); = interdealer price | |
| Walrasian limit | ||
| Heterogeneous-investor spread | (same ; eq 19 is the -weighted case of the general spread) | eq (19) |
Critical caveat (the result that surprises everyone). With competing dealers (), faster contact between investors and dealers () tightens the spread to zero and prices converge to Walrasian. With a monopolistic dealer (), faster contact widens the spread - the investor’s threat to find another investor is worth less once the dealer has already absorbed everyone. The whole comparative statics hinges on , the bargaining power, not on the level of the friction.
3. Computational Implementation - the DGP equilibrium engine
Standard library only. This reproduces the headline numbers above: the Theorem-2 prices, the convergence to Walrasian under fast search, and the competing-vs-monopolist divergence. Ran and verified (§3 of 03 · The Search-and-Bargaining Model).
The spread vanishes as search gets fast (competition) but widens under a monopolist - the paper’s central, counterintuitive comparative static, reproduced.
4. Failure Modes & First-Principles Breakdowns
Hub signposts - the full analysis lives in 05 · Failure Modes & Practice. In one line each:
- Search frictions are a tax on liquidity. When the spread is bounded only by the discount rate - an investor with a liquidity need pays a huge concession (the OTC “illiquidity discount” ).
- Dealer capacity is finite and procyclical. A dealer absorbs a supply shock only up to its balance-sheet capacity; shock size relative to capital sets the price impact, which reverses as capital arrives (04 · Dealer Capacity).
- Contagion runs through the dealer network. Bilateral OTC exposures chain defaults: a shock to one dealer can cascade through the interdealer web (Duffie 2010; the 2008 crisis) - the reason central clearing was mandated.
- Bargaining power, not fundamentals, can dominate the price. In a search market the “price” is a bilateral split; two identical assets can trade at different prices in the same instant.
- Opacity compounds everything. No public tape means no mark-to-market, so balance-sheet losses are discovered late and fire sales feed back into prices.
5. References
- Duffie, Gârleanu & Pedersen (2005), Over-the-counter markets, Econometrica 73(6), 1815–1847
- Duffie (2010), Presidential address: Asset price dynamics with slow-moving capital, Journal of Finance 65(4), 1237–1267
- Duffie (2012), Dark Markets: Asset Pricing and Information Transmission in Over-the-Counter Markets, Princeton University Press
- Duffie (2012), Over-the-counter markets, in Handbook of Financial Econometrics
- Hasbrouck (2007), Empirical Market Microstructure, OUP
- Bao, Pan & Wang (2011), The illiquidity of corporate bonds, Journal of Finance 66(3), 911–946
6. Connected Graph Bridges
- Foundational base: Probability & Measure Theory · Stochastic Calculus & Itô · Econometrics & Time Series
- Sibling topic (in-pillar): Inventory Management & Quote Skewing · Market-Maker Economics & Rebates · Liquidity Risk & Asset Pricing
- Risk-pillar bridge: Counterparty Risk & XVA · Systemic Risk & Aggregation
- Derivative-pillar bridge: Counterparty Risk & XVA (the OTC derivative valuation-adjustment side)
- Sub-pages (in-folder): 01 From Zero · 02 OTC Market Structure · 03 The Search-and-Bargaining Model · 04 Dealer Capacity & Balance Sheets · 05 Failure Modes & Practice · 06 Advanced Extensions