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Results for “IRS” · papers 18 · wiki 24
Academic Papers · 18arXiv q-fin live 8 · desk corpus 197
arXiv · arXiv · 2024

An Application of the Ornstein-Uhlenbeck Process to Pairs Trading

We conduct a preliminary analysis of a pairs trading strategy using the Ornstein-Uhlenbeck (OU) process to model stock price spreads. We compare this approach to a naive pairs trading strategy that uses a rolling window to calculate mean and standard deviation parameters. Our findings suggest that the OU model captures signals and trends effectively but underperforms the naive model on a risk-return basis, likely due

Jirat Suchato, Sean Wiryadi, Danran Chen, Ava Zhao, Michael Yue
arXiv · arXiv q-fin · 2020

Obamacare and a Fix for the IRS Iteration

We model the quantities appearing in Internal Revenue Service (IRS) tax guidance for calculating the health insurance premium tax credit created by the Patient Protection and Affordable Care Act, also called Obamacare. We ask the question of whether there is a procedure, computable by hand, which can calculate the appropriate premium tax credit for any household with self-employment income. We motivate current IRS ta

Samuel J. Ferguson
arXiv · arXiv q-fin · 2018

The Affordable Care Act and the IRS Iterative Fixed Point Procedure

We model the quantities appearing in Internal Revenue Service (IRS) tax guidance for calculating the health insurance premium tax credit created by the Patient Protection and Affordable Care Act, also called Obamacare. We ask the question of whether there is a procedure, computable by hand, which can calculate the appropriate premium tax credit for any household with self-employment income. We give an example showing

Samuel J. Ferguson
arXiv · arXiv · 2018

Emerging Market Corporate Bonds as First-to-Default Baskets

Emerging market hard-currency bonds are an asset class of growing importance, and contain exposure to an EM sovereign and the underlying industry. The authors investigate how to model this as a modification of the well-known first-to-default (FtD) basket, using the structural model, and find the approach feasible.

Richard Martin, Yao Ma
OpenAlex · Quantitative Finance · 2005 · cites 301

Pairs trading

‘Pairs Trading’ is an investment strategy used by many Hedge Funds. Consider two similar stocks which trade at some spread. If the spread widens short the high stock and buy the low stock. As the spread narrows again to some equilibrium value, a profit results. This paper provides an analytical framework for such an investment strategy. We propose a mean-reverting Gaussian Markov chain model for the spread which is o

Robert J. Elliott, John van der Hoek, W.P. Malcolm
OpenAlex · Quantitative Finance · 2016 · cites 155

The profitability of pairs trading strategies: distance, cointegration and copula methods

We perform an extensive and robust study of the performance of three different pairs trading strategies—the distance, cointegration and copula methods—on the entire US equity market from 1962 to 2014 with time-varying trading costs. For the cointegration and copula methods, we design a computationally efficient two-step pairs trading strategy. In terms of economic outcomes, the distance, cointegration and copula meth

Hossein Rad, Rand Kwong Yew Low, Robert W. Faff
arXiv · arXiv · 2026

Coordinated Sniper Cohorts on Pump.fun: Detection of 1,012 Persistent Wallet Rings and a Contamination-Adjusted Estimate of Coordination-Specific First-Hour Buyer-Flow Lift

Motivated by Kyle (1985) informed order flow and the Meiklejohn et al. (2013) wallet-clustering tradition, we ask whether persistent coordinated wallets causally raise first-hour buyer flow on the Solana pump.fun bonding-curve marketplace. Using 1,578,333 buyer observations from 166,098 launches over 13.4 days (2026-06-11 to 2026-06-25), a two-stage detection pipeline (intra-launch first-buyer-window extraction plus

Arati Uday Kamat
arXiv · arXiv · 2026

Feasibility-First Satellite Integration in Robust Portfolio Architectures

The integration of thematic satellite allocations into core-satellite portfolio architectures is commonly approached using factor exposures, discretionary convictions, or backtested performance, with feasibility assessed primarily through liquidity screens or market-impact considerations. While such approaches may be appropriate at institutional scale, they are ill-suited to small portfolios and robustness-oriented a

Roberto Garrone
arXiv · arXiv · 2022

Optimal Settings for Cryptocurrency Trading Pairs

The goal of cryptocurrencies is decentralization. In principle, all currencies have equal status. Unlike traditional stock markets, there is no default currency of denomination (fiat), thus the trading pairs can be set freely. However, it is impractical to set up a trading market between every two currencies. In order to control management costs and ensure sufficient liquidity, we must give priority to covering those

Di Zhang, Youzhou Zhou
arXiv · arXiv · 2021

Evaluation of Dynamic Cointegration-Based Pairs Trading Strategy in the Cryptocurrency Market

This research aims to demonstrate a dynamic cointegration-based pairs trading strategy, including an optimal look-back window framework in the cryptocurrency market, and evaluate its return and risk by applying three different scenarios. We employ the Engle-Granger methodology, the Kapetanios-Snell-Shin (KSS) test, and the Johansen test as cointegration tests in different scenarios. We calibrate the mean-reversion sp

Masood Tadi, Irina Kortchmeski
arXiv · arXiv · 2026

From Public Evidence to Contractual Outcome: First and Stable Decidability on Kalshi

Public evidence can become sufficient to settle a prediction-market contract before the venue records its first determination, but the relevant boundary depends on the applicable rule version, exact release object, source hierarchy, correction history, and unfinished contract conditions. This paper defines two Kalshi clocks: first decidability, the earliest contemporaneous singleton in the rule-evidence mapping, and

Maksym Nechepurenko
OpenAlex · Review of Financial Studies · 2006 · cites 822

Pairs Trading: Performance of a Relative-Value Arbitrage Rule

We test a Wall Street investment strategy, “pairs trading,” with daily data over 1962–2002. Stocks are matched into pairs with minimum distance between normalized historical prices. A simple trading rule yields average annualized excess returns of up to 11% for self-financing portfolios of pairs. The profits typically exceed conservative transaction-cost estimates. Bootstrap results suggest that the “pairs” effect di

Evan Gatev, William N. Goetzmann, K. Geert Rouwenhorst
OpenAlex · 2004 · cites 360

Pairs Trading: Quantitative Methods and Analysis

Preface. Acknowledgments. PART ONE: BACKGROUND MATERIAL. Chapter 1. Introduction. The CAPM Model. Market Neutral Strategy. Pairs Trading. Outline. Audience. Chapter 2. Time Series. Overview. Autocorrelation. Time Series Models. Forecasting. Goodness of Fit versus Bias. Model Choice. Modeling Stock Prices. Chapter 3. Factor Models. Introduction. Arbitrage Pricing Theory. The Covariance Matrix. Application: Calculating

Ganapathy Vidyamurthy
OpenAlex · Journal of Economic Surveys · 2016 · cites 221

STATISTICAL ARBITRAGE PAIRS TRADING STRATEGIES: REVIEW AND OUTLOOK

Abstract This survey reviews the growing literature on pairs trading frameworks, i.e., relative‐value arbitrage strategies involving two or more securities. Research is categorized into five groups: The distance approach uses nonparametric distance metrics to identify pairs trading opportunities. The cointegration approach relies on formal cointegration testing to unveil stationary spread time series. The time‐series

Christopher Krauß
OpenAlex · The Journal of Financial Research · 2012 · cites 135

ARE PAIRS TRADING PROFITS ROBUST TO TRADING COSTS?

Abstract We examine the impact of trading costs on pairs trading profitability in the U.S. equity market, 1963 to 2009. After controlling for commissions, market impact, and short selling fees, pairs trading remains profitable, albeit at much more modest levels. Specifically, we document a risk‐adjusted return of about 30 basis points per month among portfolios of well‐matched pairs that are formed within refined ind

Binh Do, Robert W. Faff
arXiv · arXiv · 2026

The VIX-Derived Volatility Model: A VIX-first Joint SPX-VIX Framework

We propose the VIX-derived volatility (VDV) model, a VIX-first framework for joint SPXVIX modeling. In the model, we define explicit dynamics for the VIX process to price VIX futures and options, yielding a VIX-side calibration that is independent of the SPX dynamics. Using the rolling-window definition of the VIX, we then derive a coupling function to obtain the SPX volatility process as a latent process consistent

Nicola F. Zaugg, Lech A. Grzelak
arXiv · arXiv · 2026

Deep Learning for Dynamic Programming with Recursive Utility Using First-order Conditions

This paper proposes the certainty-equivalent first-order learning (CEFOL) algorithm, a deep learning algorithm for solving discrete-time dynamic programming problems with recursive utility. Dynamic programming with recursive utility is challenging because nonlinear certainty equivalent appears in the Bellman equation and the first-order optimality conditions but is difficult to evaluate. By introducing a separate neu

Xianhua Peng, Wu Guo, Songyan Wang, Jianfei Zhu
arXiv · arXiv · 2025

F&O Expiry vs. First-Day SIPs: A 22-Year Analysis of Timing Advantages in India's Nifty 50

Systematic Investment Plans (SIPs) are a primary vehicle for retail equity participation in India, yet the impact of their intra-month timing remains underexplored. This study offers a 22-year (2003--2024) comparative analysis of SIP performance in the Nifty 50 index, contrasting the conventional first-trading-day (FTD-SIP) strategy with an alternative aligned to monthly Futures and Options expiry days (EXP-SIP). Usi

Siddharth Gavhale
Wiki Entities · 24
AI Systems

Adam Optimizer

Adam is an adaptive first-order optimizer that keeps exponential moving averages of the gradient and its square, giving per-parameter step sizes.

AI Systems

Byte Pair Encoding

BPE grows a vocabulary by repeatedly merging the most frequent adjacent pairs, starting from characters or bytes, until a target vocab size is reached.

AI Systems

CLIP

CLIP jointly trains an image encoder and a text encoder so matched image–caption pairs are close in a shared space, enabling zero-shot visual classification by text prompts.

AI Systems

Contrastive Learning

Contrastive learning pulls representations of related pairs together and pushes unrelated pairs apart. It is the pretraining idea behind SimCLR, CLIP, and many embedding models.

AI Systems

Proximal Policy Optimization

PPO is a policy-gradient algorithm that clips the probability ratio so each update stays close to the previous policy, giving much of TRPO’s stability with first-order SGD.

AI Systems

Retrieval-Augmented Generation

RAG retrieves relevant documents first, then conditions a language model on that evidence so answers can be grounded, cited, and updated without retraining.

CTA

CTA Futures Roll and Contract Selection

Which expiry you hold and when you roll is a first-class P&L — not an operations footnote — especially in commodities and VIX.

CTA

VIX / Volatility-Futures CTA

Trade the VIX curve as a first-class market — trend on VIX, carry on contango, and a respect for inversion — not just an equity hedge overlay.

Derivatives

Delta

Delta is the first derivative of option value to the underlying — the hedge ratio and a moneyness label.

Derivatives

Moneyness

Moneyness is where spot sits versus strike — in, at, or out of the money — the first map of option value and of Greek shape.

Desk Slang

Bidless

Bidless means there is no meaningful posted or workable bid — you can sell only by walking the stairs or waiting, which is how fire sales become prices.

Equity

Initial Public Offering

An IPO is a private firm’s first sale of stock to public investors — a liquidity and valuation event, not a proof of quality.

Financial Crises

Cyprus Crisis 2013

Cyprus 2013 combined a Greek-PSI hole in bank assets with a huge banking system versus GDP and ended in bail-in, capital controls, and a depositor haircut above insurance — a euro-area first.

Financial Crises

Panic of 1792

The Panic of 1792 was the first US securities-market crash, after a leveraged attempt to corner federal debt, and the first Treasury-led lender-of-last-resort operation under Hamilton.

Financial Crises

SVB / Regional Bank Crisis 2023

March 2023’s US regional-bank crisis (SVB, Signature, First Republic) was a social-media deposit run on duration-mismatched, uninsured-deposit franchises — 1980s S&L math plus a Twitter fuse.

Financial Crises

Tequila Crisis 1994

Mexico’s 1994–95 tequila crisis was a devaluation-and-tesobono run after political shocks and a crawling peg that had become incredible — the first big 1990s EM capital-account crisis.

Fixed Income

Modified Duration

Modified duration is the percent price change for a 1% (100bp) parallel yield move — the first-order hedge ratio from the yield function.

FX

FX Implied Volatility

FX Implied Volatility — Option-implied uncertainty for currency pairs, key for hedging and risk budgeting.

FX

Pip

A pip is the conventional smallest FX increment — usually 0.0001 for most pairs and 0.01 for JPY pairs.

Quant

Cointegration Pairs Trading

Cointegration Pairs Trading — Mean-reversion on stationary spreads between related instruments.

Rates

Interest Rate Swap

An interest-rate swap exchanges fixed coupons for floating (or the reverse) on a notional — the vanilla rates derivative.

Strategies

Market Seasonality Effect in World Equity Indexes

Time global equity exposure with calendar rules (Halloween, first-half vs second-half year) rather than a fundamental forecast.

Strategies

Pairs Trading with Country ETFs

Mean-revert spreads between country (or regional) ETFs that usually travel together — pairs at the index layer.

Strategies

Pairs Trading with Stocks

Trade a spread between two historically linked stocks when it is statistically wide, and unwind when it mean-reverts.

Option Blackboard · 0
No Option Blackboard entries matched.
Encyclopedia · 23
AI Systems · Foundations

Adam Optimizer

Adam is an adaptive first-order optimizer that keeps exponential moving averages of the gradient and its square, giving per-parameter step sizes.

Desk Slang · Foundations

Bidless

Bidless means there is no meaningful posted or workable bid — you can sell only by walking the stairs or waiting, which is how fire sales become prices.

AI Systems · Foundations

Byte Pair Encoding

BPE grows a vocabulary by repeatedly merging the most frequent adjacent pairs, starting from characters or bytes, until a target vocab size is reached.

AI Systems · Foundations

CLIP

CLIP jointly trains an image encoder and a text encoder so matched image–caption pairs are close in a shared space, enabling zero-shot visual classification by text prompts.

Quant · Foundations

Cointegration Pairs Trading

Cointegration Pairs Trading — Mean-reversion on stationary spreads between related instruments.

AI Systems · Foundations

Contrastive Learning

Contrastive learning pulls representations of related pairs together and pushes unrelated pairs apart. It is the pretraining idea behind SimCLR, CLIP, and many embedding models.

CTA · Foundations

CTA Futures Roll and Contract Selection

Which expiry you hold and when you roll is a first-class P&L — not an operations footnote — especially in commodities and VIX.

Financial Crises · Foundations

Cyprus Crisis 2013

Cyprus 2013 combined a Greek-PSI hole in bank assets with a huge banking system versus GDP and ended in bail-in, capital controls, and a depositor haircut above insurance — a euro-area first.

Derivatives · Foundations

Delta

Delta is the first derivative of option value to the underlying — the hedge ratio and a moneyness label.

FX · Foundations

FX Implied Volatility

FX Implied Volatility — Option-implied uncertainty for currency pairs, key for hedging and risk budgeting.

Equity · Foundations

Initial Public Offering

An IPO is a private firm’s first sale of stock to public investors — a liquidity and valuation event, not a proof of quality.

Strategies · Foundations

Market Seasonality Effect in World Equity Indexes

Time global equity exposure with calendar rules (Halloween, first-half vs second-half year) rather than a fundamental forecast.

Fixed Income · Foundations

Modified Duration

Modified duration is the percent price change for a 1% (100bp) parallel yield move — the first-order hedge ratio from the yield function.

Derivatives · Foundations

Moneyness

Moneyness is where spot sits versus strike — in, at, or out of the money — the first map of option value and of Greek shape.

Strategies · Foundations

Pairs Trading with Country ETFs

Mean-revert spreads between country (or regional) ETFs that usually travel together — pairs at the index layer.

Strategies · Foundations

Pairs Trading with Stocks

Trade a spread between two historically linked stocks when it is statistically wide, and unwind when it mean-reverts.

Financial Crises · Foundations

Panic of 1792

The Panic of 1792 was the first US securities-market crash, after a leveraged attempt to corner federal debt, and the first Treasury-led lender-of-last-resort operation under Hamilton.

FX · Foundations

Pip

A pip is the conventional smallest FX increment — usually 0.0001 for most pairs and 0.01 for JPY pairs.

AI Systems · Foundations

Proximal Policy Optimization

PPO is a policy-gradient algorithm that clips the probability ratio so each update stays close to the previous policy, giving much of TRPO’s stability with first-order SGD.

AI Systems · Foundations

Retrieval-Augmented Generation

RAG retrieves relevant documents first, then conditions a language model on that evidence so answers can be grounded, cited, and updated without retraining.

Financial Crises · Foundations

SVB / Regional Bank Crisis 2023

March 2023’s US regional-bank crisis (SVB, Signature, First Republic) was a social-media deposit run on duration-mismatched, uninsured-deposit franchises — 1980s S&L math plus a Twitter fuse.

Financial Crises · Foundations

Tequila Crisis 1994

Mexico’s 1994–95 tequila crisis was a devaluation-and-tesobono run after political shocks and a crawling peg that had become incredible — the first big 1990s EM capital-account crisis.

CTA · Foundations

VIX / Volatility-Futures CTA

Trade the VIX curve as a first-class market — trend on VIX, carry on contango, and a respect for inversion — not just an equity hedge overlay.

Cards · 1
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