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Results for “deal” · papers 18 · wiki 17
Academic Papers · 18arXiv q-fin live 8 · desk corpus 54
OpenAlex · Review of Financial Studies · 2022 · cites 55

Commonality in Credit Spread Changes: Dealer Inventory and Intermediary Distress

Abstract Two intermediary-based factors—a corporate bond dealer inventory measure and a broad intermediary distress measure—explain more than 40$\%$ of the puzzling common variation in credit spread changes beyond canonical structural factors. A simple intermediary-based model with partial market segmentation accounts for intermediary factors’ explanatory power and delivers three further implications with empirical s

Zhiguo He, Paymon Khorrami, Zhaogang Song
arXiv · arXiv · 2022

DeFi: data-driven characterisation of Uniswap v3 ecosystem & an ideal crypto law for liquidity pools

Uniswap is a Constant Product Market Maker built around liquidity pools, where pairs of tokens are exchanged subject to a fee that is proportional to the size of transactions. At the time of writing, there exist more than 6,000 pools associated with Uniswap v3, implying that empirical investigations on the full ecosystem can easily become computationally expensive. Thus, we propose a systematic workflow to extract an

Deborah Miori, Mihai Cucuringu
arXiv · arXiv · 2021

Predicting the Behavior of Dealers in Over-The-Counter Corporate Bond Markets

Trading in Over-The-Counter (OTC) markets is facilitated by broker-dealers, in comparison to public exchanges, e.g., the New York Stock Exchange (NYSE). Dealers play an important role in stabilizing prices and providing liquidity in OTC markets. We apply machine learning methods to model and predict the trading behavior of OTC dealers for US corporate bonds. We create sequences of daily historical transaction reports

Yusen Lin, Jinming Xue, Louiqa Raschid
arXiv · arXiv · 2018

Liquidity in Competitive Dealer Markets

We study a continuous-time version of the intermediation model of Grossman and Miller (1988). To wit, we solve for the competitive equilibrium prices at which liquidity takers' demands are absorbed by dealers with quadratic inventory costs, who can in turn gradually transfer these positions to an exogenous open market with finite liquidity. This endogenously leads to transient price impact in the dealer market. Smoot

Peter Bank, Ibrahim Ekren, Johannes Muhle-Karbe
arXiv · arXiv · 2015

The behavior of dealers and clients on the European corporate bond market: the case of Multi-Dealer-to-Client platforms

For the last two decades, most financial markets have undergone an evolution toward electronification. The market for corporate bonds is one of the last major financial markets to follow this unavoidable path. Traditionally quote-driven i.e., dealer-driven) rather than order-driven, the market for corporate bonds is still mainly dominated by voice trading, but a lot of electronic platforms have emerged. These electro

Jean-David Fermanian, Olivier Guéant, Jiang Pu
arXiv · arXiv · 2026

When David becomes Goliath: Repo dealer-driven bond mispricing

This paper studies the impact of funding market frictions on bond prices and market-wide liquidity. Using proprietary transaction-level data on all gilt-backed repo and reverse-repo trades, we demonstrate how the market power of individual dealers and their linkages generate frictions. Specifically, we show that frictions related to market power account for between 0.5 and 1.3 percentage points of bond yield deviatio

Carlos Canon, Eddie Gerba, Jozef Barunik
arXiv · arXiv · 2023

Dealer Strategies in Agent-Based Models

This paper explores the utility of agent-based simulations in realistically modelling market structures and sheds light on the nuances of optimal dealer strategies. It underscores the contrast between conclusions drawn from probabilistic modelling and agent-based simulations, but also highlights the importance of employing a realistic test bed to analyse intricate dynamics. This is achieved by extending the agent-bas

Wladimir Ostrovsky
arXiv · arXiv · 2022

Dealing with multi-currency inventory risk in FX cash markets

In FX cash markets, market makers provide liquidity to clients for a wide variety of currency pairs. Because of flow uncertainty and market volatility, they face inventory risk. To mitigate this risk, they typically skew their prices to attract or divert the flow and trade with their peers on the dealer-to-dealer segment of the market for hedging purposes. This paper offers a mathematical framework to FX dealers will

Alexander Barzykin, Philippe Bergault, Olivier Guéant
arXiv · arXiv · 2021

Market making by an FX dealer: tiers, pricing ladders and hedging rates for optimal risk control

Dealers make money by providing liquidity to clients but face flow uncertainty and thus price risk. They can efficiently skew their prices and wait for clients to mitigate risk (internalization), or trade with other dealers in the open market to hedge their position and reduce their inventory (externalization). Of course, the better control associated with externalization comes with transaction costs and market impac

Alexander Barzykin, Philippe Bergault, Olivier Guéant
arXiv · arXiv · 2021

Algorithmic market making in dealer markets with hedging and market impact

In dealer markets, dealers provide prices at which they agree to buy and sell the assets and securities they have in their scope. With ever increasing trading volume, this quoting task has to be done algorithmically in most markets such as foreign exchange markets or corporate bond markets. Over the last ten years, many mathematical models have been designed that can be the basis of quoting algorithms in dealer marke

Alexander Barzykin, Philippe Bergault, Olivier Guéant
arXiv · arXiv · 2019

Reinforcement Learning for Market Making in a Multi-agent Dealer Market

Market makers play an important role in providing liquidity to markets by continuously quoting prices at which they are willing to buy and sell, and managing inventory risk. In this paper, we build a multi-agent simulation of a dealer market and demonstrate that it can be used to understand the behavior of a reinforcement learning (RL) based market maker agent. We use the simulator to train an RL-based market maker a

Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant Reddy
arXiv · arXiv · 2026

Pricing and Hedging Financial Derivatives in Merger\&Acquisition Deals with Price Impact

We investigate the optimal execution of contracts that are used in merger\&acquisition deals. We consider cash-settled and physically delivered contracts between a broker and a counterpart. Contracts are linear (total returns swaps), nonlinear (collar contracts) or Asian type (TWAP based contracts). We derive the optimal execution strategy and the optimal fee through indifference utility arguments allowing for linear

Emilio Barucci, Yuheng Lan, Daniele Marazzina
arXiv · arXiv · 2024

Predicting public market behavior from private equity deals

We process private equity transactions to predict public market behavior with a logit model. Specifically, we estimate our model to predict quarterly returns for both the broad market and for individual sectors. Our hypothesis is that private equity investments (in aggregate) carry predictive signal about publicly traded securities. The key source of such predictive signal is the fact that, during their diligence pro

Paolo Barucca, Flaviano Morone
arXiv · arXiv · 2019

Michael Milken: The Junk Dealer

We take a closer look at the life and legacy of Micheal Milken. We discuss why Michael Milken, also know as the Junk Bond King, was not just any other King or run-of-the-mill Junk Dealer, but "The Junk Dealer". We find parallels between the three parts to any magic act and what Micheal Milken did, showing that his accomplishments were nothing short of a miracle. His compensation at that time captures to a certain ext

Ravi Kashyap
arXiv · arXiv · 2016

A Principal-Agent Model of Trading Under Market Impact -Crossing networks interacting with dealer markets-

We use a principal-agent model to analyze the structure of a book-driven dealer market when the dealer faces competition from a crossing network or dark pool. The agents are privately informed about their types (e.g. their portfolios), which is something that the dealer must take into account when engaging his counterparties. Instead of trading with the dealer, the agents may chose to trade in a crossing network. We

Jana Bielagk, Ulrich Horst, Santiago Moreno--Bromberg
arXiv · arXiv · 2015

On Optimal Pricing Model for Multiple Dealers in a Competitive Market

In this paper, the optimal pricing strategy in Avellande-Stoikov's for a monopolistic dealer is extended to a general situation where multiple dealers are present in a competitive market. The dealers' trading intensities, their optimal bid and ask prices and therefore their spreads are derived when the dealers are informed the severity of the competition. The effects of various parameters on the bid-ask quotes and pr

Wai-Ki Ching, Jia-Wen Gu, Qing-Qing Yang, Tak-Kuen Siu
arXiv · arXiv · 2011

Ito calculus without probability in idealized financial markets

We consider idealized financial markets in which price paths of the traded securities are cadlag functions, imposing mild restrictions on the allowed size of jumps. We prove the existence of quadratic variation for typical price paths, where the qualification "typical" means that there is a trading strategy that risks only one monetary unit and brings infinite capital if quadratic variation does not exist. This resul

Vladimir Vovk
arXiv · arXiv · 2010

Rough paths in idealized financial markets

This paper considers possible price paths of a financial security in an idealized market. Its main result is that the variation index of typical price paths is at most 2, in this sense, typical price paths are not rougher than typical paths of Brownian motion. We do not make any stochastic assumptions and only assume that the price path is positive and right-continuous. The qualification "typical" means that there is

Vladimir Vovk
Wiki Entities · 17
Banking

Balance Sheet Constraint Dealer

Balance Sheet Constraint Dealer — Dealer SLR/balance-sheet limits reducing intermediation.

Crypto

Crypto Market Maker Inventory

Crypto Market Maker Inventory — Dealer inventory and hedge needs shaping crypto microstructure.

Derivatives

Dealer Gamma Positioning

Dealer gamma positioning describes whether option dealers are structurally long or short gamma, shaping how hedging flows amplify or dampen market moves.

Derivatives

Gamma Hedging

Gamma Hedging — Delta adjustments by dealers that can accelerate trends or pin prices near strikes.

Derivatives

Vanna Charm Flow

Vanna Charm Flow — Second-order greek hedging flows that amplify or dampen spot moves around expiries.

Desk Slang

Gamma Squeeze

A gamma squeeze is a price spiral where dealer hedging of short call (or put) gamma forces them to buy rallies and sell dips, amplifying the move that created the gamma.

Desk Slang

Stuffed

Stuffed means a dealer or salesperson was left long (or short) inventory they did not want, usually after a client or a syndicate left paper on the desk.

Equity

Mergers and Acquisitions

Mergers and acquisitions are transactions that combine firms or assets — a capital-allocation decision dressed as a strategy slide.

Equity

Mutual Fund

A mutual fund is an open-end vehicle that deals at end-of-day NAV — no intra-day book, and redemptions can force sales.

Equity

Net Asset Value

NAV is the fund’s assets minus liabilities, per share — the accounting price at which open-end vehicles deal.

Financial Crises

Dot-Com Crash 2000

The 2000–02 dot-com crash was an equity-valuation collapse after a narrative IPO bubble — brutal for NASDAQ, milder as a banking crisis because leverage sat more in households and corporates than in dealer warehousing of the story.

Financial Crises

Global Financial Crisis 2008

The 2007–09 global financial crisis was a wholesale-run on securitized credit and dealer balance sheets after US housing turned — the modern template for shadow-bank runs, fire sales, and a central-bank-as-market-maker.

Financial Crises

Lehman Weekend 2008

Lehman weekend (13–15 September 2008) was the disorderly failure of a primary dealer — the moment a housing/credit crunch became a global run on counterparties and money funds.

Fixed Income

Primary Dealer Survey

Primary Dealer Survey — Desk-level policy expectations that front-run official communications.

Macro Policy

Standing Repo Facility

Standing Repo Facility — The Fed backstop for repo market dysfunction and dealer balance-sheet pressure.

Microstructure

Primary Dealer Holdings

Primary dealer holdings track how much inventory dealers are carrying, offering insight into balance-sheet absorption, market-making capacity, and Treasury market strain.

Strategies

Merger Arbitrage

Long the target (and short the acquirer in stock deals) after a bid, to harvest the spread if the deal closes.

Option Blackboard · 1
Encyclopedia · 15
Banking · Foundations

Balance Sheet Constraint Dealer

Balance Sheet Constraint Dealer — Dealer SLR/balance-sheet limits reducing intermediation.

Crypto · Foundations

Crypto Market Maker Inventory

Crypto Market Maker Inventory — Dealer inventory and hedge needs shaping crypto microstructure.

Derivatives · Foundations

Dealer Gamma Positioning

Dealer gamma positioning describes whether option dealers are structurally long or short gamma, shaping how hedging flows amplify or dampen market moves.

Financial Crises · Foundations

Dot-Com Crash 2000

The 2000–02 dot-com crash was an equity-valuation collapse after a narrative IPO bubble — brutal for NASDAQ, milder as a banking crisis because leverage sat more in households and corporates than in dealer warehousing of the story.

Derivatives · Foundations

Gamma Hedging

Gamma Hedging — Delta adjustments by dealers that can accelerate trends or pin prices near strikes.

Desk Slang · Foundations

Gamma Squeeze

A gamma squeeze is a price spiral where dealer hedging of short call (or put) gamma forces them to buy rallies and sell dips, amplifying the move that created the gamma.

Financial Crises · Foundations

Global Financial Crisis 2008

The 2007–09 global financial crisis was a wholesale-run on securitized credit and dealer balance sheets after US housing turned — the modern template for shadow-bank runs, fire sales, and a central-bank-as-market-maker.

Financial Crises · Foundations

Lehman Weekend 2008

Lehman weekend (13–15 September 2008) was the disorderly failure of a primary dealer — the moment a housing/credit crunch became a global run on counterparties and money funds.

Strategies · Foundations

Merger Arbitrage

Long the target (and short the acquirer in stock deals) after a bid, to harvest the spread if the deal closes.

Equity · Foundations

Mutual Fund

A mutual fund is an open-end vehicle that deals at end-of-day NAV — no intra-day book, and redemptions can force sales.

Equity · Foundations

Net Asset Value

NAV is the fund’s assets minus liabilities, per share — the accounting price at which open-end vehicles deal.

Microstructure · Foundations

Primary Dealer Holdings

Primary dealer holdings track how much inventory dealers are carrying, offering insight into balance-sheet absorption, market-making capacity, and Treasury market strain.

Fixed Income · Foundations

Primary Dealer Survey

Primary Dealer Survey — Desk-level policy expectations that front-run official communications.

Macro Policy · Foundations

Standing Repo Facility

Standing Repo Facility — The Fed backstop for repo market dysfunction and dealer balance-sheet pressure.

Desk Slang · Foundations

Stuffed

Stuffed means a dealer or salesperson was left long (or short) inventory they did not want, usually after a client or a syndicate left paper on the desk.

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