Markets Glossary
Key Insights
- Key terms and definitions for financial markets, quantitative analysis, and portfolio management — sourced from SEC, BIS, AQR, and MSCI research.
Key terms and definitions for financial markets, quantitative analysis, and portfolio management — sourced from SEC, BIS, AQR, and MSCI research.
This glossary covers key concepts in markets as used across AcaciaFund's research, learning materials, and knowledge base.
Core Concepts
AI Hardware Trends
AI Hardware Trends Also: AI chips, GPU market, AI accelerators
Algorithmic Trading
Algorithmic Trading Also: algo trading, automated trading, execution algorithms
Alternative Data in Markets
Alternative Data in Markets Also: alt data, satellite imagery, credit card data, web scraping
Asset Pricing Models
Asset Pricing Models Also: CAPM, asset pricing, discount factor models
Behavioral Finance
Behavioral Finance Also: behavioral economics, behavioral biases
Black-Scholes Options Pricing Model
The Black-Scholes model provides a closed-form solution for pricing European options, establishing the theoretical foundation for modern options markets. It shows that option prices can be derived from a no-arbitrage condition using a continuously rebalanced hedge portfolio. Also: Black-Scholes-Merton, BSM, options pricing model, black-scholes-1973, black-scholes-formula
Capital Asset Pricing Model (CAPM)
The Capital Asset Pricing Model (CAPM), developed by Sharpe (1964), Lintner (1965), and Mossin (1966), provides a theoretical framework for relating expected return to systematic risk. The key insight is that only non-diversifiable (market) risk is priced, and an asset's expected return is linearly related to its beta with the market portfolio. Also: CAPM, Sharpe-Lintner model, security market line, SML, capital-asset-pricing-model
Carry Trade Strategies
Carry Trade Strategies Also: currency carry, FX carry, interest rate differential
Commodity Trading Strategies
Commodity Trading Strategies Also: commodity futures, commodity hedging
Cross-Asset Trading
Cross-Asset Trading Also: multi-asset, asset allocation, correlation trading
Cryptocurrency Markets
Cryptocurrency Markets Also: digital assets, crypto trading, blockchain markets
Dark Pools & ATS
Dark Pools & ATS Also: dark liquidity, ATS, block trading, alternative trading system
Design
A concept related to design Also: design
ESG Double Materiality
ESG Double Materiality Also: double materiality, CSRD materiality, impact materiality, financial materiality
ESG Investing
ESG Investing Also: ESG, sustainable investing, responsible investing
ETF Creation & Redemption
ETF Creation & Redemption Also: ETF arbitrage, creation unit, AP authorized participant
ETF Trading & Structure
ETF Trading & Structure Also: exchange traded funds, ETF creation redemption, ETF arbitrage
Earnings Analysis
Earnings Analysis Also: earnings season, earnings reports
Efficient Market Hypothesis (EMH)
The Efficient Market Hypothesis, formalized by Eugene Fama (1970), states that asset prices fully reflect all available information. It comes in three forms: weak (past prices), semi-strong (public information), and strong (all information, including insider). The EMH provides the benchmark against which all market anomalies and behavioral finance findings are measured. Also: EMH, Fama 1970, efficient markets, random walk hypothesis, market efficiency
Equity & Stock Basics
Equity & Stock Basics Also: stocks, shares, equity securities, common stock
Event-Driven Trading
Event-Driven Trading Also: corporate actions, M&A arbitrage, event study
Execution Algorithms
Execution Algorithms Also: VWAP, TWAP, implementation shortfall, smart order routing
FX Market Structure
FX Market Structure Also: forex, spot FX, FX swap, FX prime brokerage
Factor Investing
Factor Investing Also: smart beta, factor models
Fama-French Factor Models
The Fama-French three-factor model (1993) extends the CAPM by adding size (SMB) and value (HML) factors to explain cross-sectional variation in stock returns. The five-factor model (2015) adds profitability (RMW) and investment (CMA) factors, capturing the empirical patterns that the original CAPM could not explain. Also: Fama-French 3-factor, Fama-French 5-factor, three-factor model, five-factor model, FF3, FF5, fama-french-model
Fixed Income Markets
Fixed Income Markets Also: bond markets, fixed income, credit markets
Funding
A concept related to funding Also: funding
Glosten-Milgrom (1985) Bid-Ask Model
The Glosten-Milgrom model explains the bid-ask spread as a consequence of adverse selection: market makers widen spreads to protect themselves against informed traders, making the spread a measure of information asymmetry in the market. Also: Glosten-Milgrom model, adverse selection model, bid-ask model 1985, glosten-milgrom
Hawkes Process
Hawkes Process Also: Hawkes self-exciting process
Hedge Fund Strategies
Hedge Fund Strategies Also: hedge funds, alternative investments, long short equity
High Frequency Trading
High Frequency Trading Also: HFT, algorithmic trading, low latency
Implied Volatility Surface
Implied Volatility Surface Also: IV surface, vol surface
Kyle (1985) Insider Trading Model
Kyle's 1985 model of informed trading and price impact, establishing the theoretical foundation for how an informed trader optimally splits orders and how market makers set prices under information asymmetry. Also: Kyle 1985, insider trading model, continuous auctions, kyle-lambda, kyle-model
Limit Order Book
Limit Order Book Also: LOB, order book
Machine Learning in Markets
Machine Learning in Markets Also: ML trading, deep learning markets, AI trading
Macroeconomic Analysis
Macroeconomic Analysis Also: macro analysis, economic indicators
Market Data Infrastructure
Market Data Infrastructure Also: market data, TAQ data, market feed, OPRA
Market Impact Models
Market Impact Models Also: price impact, market impact cost, implementation shortfall
Market Indices
Market Indices Also: S&P 500, Dow Jones, index construction, benchmark indices
Market Making
Market Making Also: liquidity provision, market maker, quote-driven trading
Market Microstructure
Market Microstructure Also: microstructure
Market Participants
Market Participants Also: retail investors, institutional investors, market makers, HFT firms
Market Regime Detection
Market Regime Detection Also: regime switching, market states, HMM, volatility regime
Market Surveillance
Market Surveillance Also: insider detection, market manipulation, wash trading
Mean Reversion Strategies
Mean Reversion Strategies Also: statistical arbitrage, pairs trading, reversal trading
Momentum & Trend Following
Momentum & Trend Following Also: time-series momentum, cross-sectional momentum, trend following
Options Trading Strategies
Options Trading Strategies Also: options strategies, derivatives trading
Order Book Dynamics
Order Book Dynamics Also: LOB, limit order book, order flow, order book depth
Order Types & Execution
Order Types & Execution Also: market order, limit order, stop loss, order routing
Portfolio Optimization
Portfolio Optimization Also: asset allocation, portfolio construction
Prospect Theory (Kahneman & Tversky 1979)
Prospect Theory, developed by Daniel Kahneman and Amos Tversky (1979), describes how people make decisions under risk. It shows that individuals evaluate gains and losses relative to a reference point, are loss-averse (losses hurt ~2x more than equivalent gains feel good), and overweight small probabilities while underweighting large ones. Also: Kahneman-Tversky 1979, loss aversion theory, prospect theory, cumulative prospect theory, kahneman-tversky
Quantitative Trading
Quantitative Trading Also: quant trading, systematic trading, quantitative strategies, q-fin, math.fin
Research
A concept related to research Also: research
Retail Trading Trends
Retail Trading Trends Also: retail investors, meme stocks, retail flow
Risk Parity
Risk Parity Also: risk-balanced portfolio
Securities Lending
Securities Lending Also: stock loan, short selling, borrow rate
Semiconductor Industry
Semiconductor Industry Also: chip industry, semiconductor supply chain
Statistical Arbitrage
Statistical Arbitrage Also: stat arb, pairs trading, mean reversion
Supply Chain Analysis
Supply Chain Analysis Also: supply chain risk
Technical Analysis
Technical Analysis Also: chart patterns, technical indicators
Trading Venues
Trading Venues Also: stock exchanges, NYSE, NASDAQ, dark pools, ATS
VPIN Toxicity
VPIN Toxicity Also: Volume-Synchronized Probability of Informed Trading
Volatility Arbitrage
Volatility Arbitrage Also: vol arb, dispersion trading, volatility strategies
Volatility Trading
Volatility Trading Also: VIX trading, vol arbitrage, volatility strategies
Relationships
- AI Hardware Trends: influences Semiconductor Industry, requires Semiconductor Industry
- Algorithmic Trading: related_to High Frequency Trading, requires Market Impact Models, requires Execution Algorithms
- Alternative Data in Markets: enables Market Microstructure, requires Technical Analysis
- Asset Pricing Models: requires Portfolio Optimization, related_to Factor Investing
- Behavioral Finance: influences Market Microstructure, influences Technical Analysis, requires Portfolio Optimization
- Black-Scholes Options Pricing Model: part_of Asset Pricing Models, enables Options Trading Strategies
- Capital Asset Pricing Model (CAPM): part_of Asset Pricing Models, enables Portfolio Optimization
- Carry Trade Strategies: requires Fixed Income Markets, requires Quantitative Trading
- Commodity Trading Strategies: related_to Macroeconomic Analysis, requires Market Participants
- Cross-Asset Trading: implements Portfolio Optimization, requires Portfolio Optimization
- Cryptocurrency Markets: influences Market Microstructure, requires Market Participants
- Dark Pools & ATS: related_to Order Book Dynamics, requires Trading Venues
- ESG Double Materiality: regulates ESG Investing, requires ESG Investing
- ESG Investing: implements Factor Investing, requires Portfolio Optimization
- ETF Creation & Redemption: requires ETF Trading & Structure, enables Order Book Dynamics, requires Market Participants
- ETF Trading & Structure: requires Market Microstructure, requires Limit Order Book, requires ETF Creation & Redemption
- Earnings Analysis: related_to Macroeconomic Analysis, requires Equity & Stock Basics
- Efficient Market Hypothesis (EMH): part_of Asset Pricing Models
- Equity & Stock Basics: requires Market Participants
- Event-Driven Trading: implements Earnings Analysis, requires Quantitative Trading
- Execution Algorithms: implements Algorithmic Trading, requires Order Types & Execution
- FX Market Structure: related_to Market Microstructure, requires Market Participants
- Factor Investing: implements Portfolio Optimization, requires Portfolio Optimization
- Fama-French Factor Models: enables Asset Pricing Models, part_of Factor Investing
- Fixed Income Markets: related_to Macroeconomic Analysis, requires Market Participants
- Glosten-Milgrom (1985) Bid-Ask Model: enables Market Making, part_of Market Microstructure
- Hawkes Process: influences Market Microstructure, requires High Frequency Trading
- Hedge Fund Strategies: implements Portfolio Optimization, requires Portfolio Optimization
- High Frequency Trading: enables Market Microstructure, requires Market Microstructure
- Implied Volatility Surface: related_to Market Microstructure, requires Volatility Trading
- Kyle (1985) Insider Trading Model: enables Market Impact Models, part_of Market Microstructure
- Limit Order Book: requires Order Book Dynamics
- Machine Learning in Markets: enables Alternative Data in Markets, requires ml-pipeline, requires Quantitative Trading
- Macroeconomic Analysis: requires Market Indices
- Market Data Infrastructure: requires Limit Order Book, requires data-pipeline, requires Trading Venues
- Market Impact Models: part_of Market Microstructure, related_to High Frequency Trading, requires Market Microstructure
- Market Indices: requires Equity & Stock Basics
- Market Making: enables Order Book Dynamics, requires Execution Algorithms
- Market Microstructure: requires Limit Order Book
- Market Regime Detection: enables Implied Volatility Surface, requires Machine Learning in Markets
- Market Surveillance: detects Market Impact Models, requires data-pipeline, requires Market Microstructure
- Mean Reversion Strategies: implements Statistical Arbitrage, requires Statistical Arbitrage
- Momentum & Trend Following: implements Technical Analysis, requires Quantitative Trading
- Options Trading Strategies: requires Implied Volatility Surface, influences Market Microstructure, requires Volatility Trading
- Order Book Dynamics: implements Limit Order Book, requires Order Types & Execution
- Order Types & Execution: requires Equity & Stock Basics
- Portfolio Optimization: implements Risk Parity, requires Equity & Stock Basics
- Prospect Theory (Kahneman & Tversky 1979): part_of Behavioral Finance
- Quantitative Trading: implements Algorithmic Trading, requires Algorithmic Trading
- Retail Trading Trends: requires Behavioral Finance
- Risk Parity: requires Portfolio Optimization
- Securities Lending: enables Market Making, related_to Market Impact Models, requires Market Participants
- Semiconductor Industry: part_of Supply Chain Analysis, requires Supply Chain Analysis
- Statistical Arbitrage: requires Market Impact Models, requires Quantitative Trading
- Supply Chain Analysis: requires Macroeconomic Analysis
- Technical Analysis: influences Market Microstructure, requires Market Data Infrastructure
- Trading Venues: requires distributed-systems, requires Order Types & Execution
- VPIN Toxicity: measures Market Microstructure, requires Market Impact Models
- Volatility Arbitrage: implements Volatility Trading, requires Volatility Trading
- Volatility Trading: requires Implied Volatility Surface, requires Options Trading Strategies, requires Quantitative Trading
Authoritative Sources
- ANANNYE Journal — Monthly quantitative finance research journal — factor models, volatility, risk (https://journal.anannye.com/)
- AQR — AQR Capital — academic research on factors, momentum, value (https://www.aqr.com/Insights)
- arXiv q-fin — arXiv Quantitative Finance — mathematical finance papers, market models, portfolio theory (https://arxiv.org/list/q-fin/recent)
- BIS — Bank for International Settlements — monetary and financial stability (https://www.bis.org)
- Bloomberg Insights — Bloomberg Intelligence — market research, sector analysis (https://www.bloomberg.com/professional/insights)
- Citadel Securities — Semi-annual market structure reports — OTC, options, equity microstructure (https://www.citadelsecurities.com/insights)
- CME Group — Derivatives and futures — volatility, volume, open interest, market structure (https://www.cmegroup.com)
- ConvexTrade Macro — Macro data dashboard — 150+ economic indicators, relative value, risk premia (https://convextrade.com/macro)
- FT Markets — Financial Times — markets coverage, analysis, commentary (https://www.ft.com/markets)
- Goldman Sachs Marquee — Market structure analysis — ETFs, index inclusion, liquidity trends (https://marquee.gs.com/s/market-structure)
- IMF — International Monetary Fund — WEO, GFSR, working papers (https://www.imf.org/en/Publications)
- Man Group — Man AHL — quantitative research, systematic strategies (https://www.man.com/insights)
- MSCI — MSCI research — factor investing, ESG, market analytics (https://www.msci.com/research-and-insights)
- NASDAQ — US market data, listings, earnings, market news (https://www.nasdaq.com)
- NBER — National Bureau of Economic Research — working papers on markets, macro, corporate finance (https://www.nber.org/papers)
- OECD — OECD — economic outlook, financial markets, taxation and governance research (https://www.oecd.org)
- QuantMedia — US quant research — market microstructure, VPIN, options flow, volatility (https://quantmedia.io/)
- Quantocracy — Quantitative finance aggregator — research papers, strategies (https://quantocracy.com)
- Reuters Markets — Reuters — market news, economic data, commodities (https://www.reuters.com/markets)
- SEC — US Securities and Exchange Commission — filings, rules, enforcement (https://www.sec.gov)
- S&P Global — S&P Capital IQ — market data, credit ratings, analytics (https://www.spglobal.com/marketintelligence)
- SSRN Finance — Social Science Research Network — finance and economics working papers (https://www.ssrn.com/index.cfm/en/fen/)
Article Metadata
Bloom Taxonomy Questions
What are the core concepts in Markets?
How do the concepts in this glossary relate to each other?
How would you use these terms when analyzing a real-world scenario?
Further Reading
SEC
US Securities and Exchange Commission — filings, rules, enforcement
MSCI
MSCI research — factor investing, ESG, market analytics
arXiv q-fin
arXiv Quantitative Finance — mathematical finance papers, market models, portfolio theory
Citadel Securities
Semi-annual market structure reports — OTC, options, equity microstructure
BIS
Bank for International Settlements — monetary and financial stability
Bloomberg Insights
Bloomberg Intelligence — market research, sector analysis
Feynman Concept Cards
Master each concept: read the ELI5, explore analogies, work examples, and teach it back.
AI Hardware Trends is a concept in industry analysis. In simple terms, AI Hardware Trends covers industry analysis in Markets. This markets concept addresses key topics in the industry analysis in markets domain. Also known as: AI chips, GPU market, AI accelerators. Rela
Analogy
Example
Find Gaps
Explain AI Hardware Trends as if teaching a colleague who is new to industry analysis. Cover: what it is, how it works, and why it matters.
Create
Create a diagram that demonstrates AI Hardware Trends in a real-world industry analysis scenario. Walk through your design decisions.
Show solution
A diagram for AI Hardware Trends should include: 1. The core components of ai hardware 2. How they interact 3. Expected outcomes or outputs
Algorithmic Trading is a concept in advanced techniques. In simple terms, Algorithmic Trading covers advanced techniques in Markets. This markets concept addresses key topics in the advanced techniques in markets domain. Also known as: algo trading, automated trading, execu
Analogy
Example
Find Gaps
Explain Algorithmic Trading as if teaching a colleague who is new to advanced techniques. Cover: what it is, how it works, and why it matters.
Create
Create a diagram that demonstrates Algorithmic Trading in a real-world advanced techniques scenario. Walk through your design decisions.
Show solution
A diagram for Algorithmic Trading should include: 1. The core components of algorithmic trading 2. How they interact 3. Expected outcomes or outputs
Execution Algorithms is a concept in high frequency trading. In simple terms, Execution Algorithms covers high-frequency trading in Markets. This markets concept addresses key topics in the high-frequency trading in markets domain. Also known as: VWAP, TWAP, implementation shor
Analogy
Example
Find Gaps
Explain Execution Algorithms as if teaching a colleague who is new to high frequency trading. Cover: what it is, how it works, and why it matters.
Create
Create a diagram that demonstrates Execution Algorithms in a real-world high frequency trading scenario. Walk through your design decisions.
Show solution
A diagram for Execution Algorithms should include: 1. The core components of execution algos 2. How they interact 3. Expected outcomes or outputs
High Frequency Trading is a concept in advanced techniques. In simple terms, High Frequency Trading covers advanced techniques in Markets. This markets concept addresses key topics in the advanced techniques in markets domain. Also known as: HFT, algorithmic trading, low laten
Analogy
Example
Find Gaps
Explain High Frequency Trading as if teaching a colleague who is new to advanced techniques. Cover: what it is, how it works, and why it matters.
Create
Create a diagram that demonstrates High Frequency Trading in a real-world advanced techniques scenario. Walk through your design decisions.
Show solution
A diagram for High Frequency Trading should include: 1. The core components of high frequency trading 2. How they interact 3. Expected outcomes or outputs
Research is a concept in specialized. In simple terms, A concept related to research
Analogy
Example
Find Gaps
Explain Research as if teaching a colleague who is new to specialized. Cover: what it is, how it works, and why it matters.
Create
Create a diagram that demonstrates Research in a real-world specialized scenario. Walk through your design decisions.
Show solution
A diagram for Research should include: 1. The core components of research 2. How they interact 3. Expected outcomes or outputs