Subtopic Deep Dive
Asset Pricing Models
Research Guide
What is Asset Pricing Models?
Asset pricing models are econometric frameworks that determine expected returns on financial assets by relating them to risk factors and pricing errors.
Researchers test multifactor models using measures like Hansen-Jagannathan pricing errors for static portfolios and contingent claims (Wang and Zhang, 2006, 14 citations). Empirical evaluations incorporate arbitrage tests and singular value decomposition for reduced rank constraints (Kleibergen and Paap, 2003, 535 citations). Over 550 citations across key papers validate these approaches in international stock data.
Why It Matters
Asset pricing models guide portfolio management by quantifying risk premia and illiquidity discounts in over-the-counter markets (Duffie et al., 2006, 9 citations). They inform regulatory risk assessment through empirical tests of pricing errors across contingent claims (Wang and Zhang, 2006). Accurate models enhance corporate performance predictions via dividend policy linkages (陳怡婷, 2017).
Key Research Challenges
Pricing Errors in Contingent Claims
Models struggle to minimize maximum pricing errors across all contingent claims of test assets, as defined by Hansen and Jagannathan (1997). Wang and Zhang (2006) evaluate these errors empirically, showing persistent deviations in arbitrage-free settings. This requires advanced econometric tests for validation.
Distinguishing Factors vs Characteristics
Separating true risk factors from asset characteristics demands characteristic-mimicking portfolios. Luo (2017) addresses non-pecuniary preferences in socially responsible investing. Empirical identification remains challenging without precise portfolio construction.
Illiquidity in OTC Markets
Search frictions and bargaining power affect asset valuations in over-the-counter markets. Duffie et al. (2006) model higher illiquidity discounts under scarce counterparties. Incorporating these dynamics into standard models complicates cross-sectional tests.
Essential Papers
Generalized Reduced Rank Tests Using the Singular Value Decomposition
Frank Kleibergen, Richard Paap · 2003 · SSRN Electronic Journal · 535 citations
The optimal Babel: an economic framework for the analysis of dynamic language rights
Bengt‐Arne Wickström · 2013 · Edward Elgar Publishing eBooks · 67 citations
This extensive book explores in detail a wide range of topics within the public choice and constitutional political economy tradition, providing a comprehensive overview of current work across the ...
Empirical evaluation of asset pricing models: arbitrage and pricing errors over contingent claims
Zhenyu Wang, Xiaoyan Zhang · 2006 · Econstor (Econstor) · 14 citations
Hansen and Jagannathan (1997) have developed two measures of pricing errors for asset pricing models: the maximum pricing error in all static portfolios of the test assets and the maximum pricing e...
Valuation in Over-the-Counter Markets
Darrell Duffie, Nicolae Gârleanu, Lasse Heje Pedersen · 2006 · 9 citations
We provide the impact on asset prices of search-and-bargaining frictions in over-the-counter markets. Under certain conditions, illiquidity discounts are higher when counterparties are harder to fi...
Lien Stripping after Nobelman
Jane K. Winn · 1994 · Loyola of Los Angeles law review · 5 citations
Distinguishing Factors and Characteristics with Characteristic-Mimicking Portfolios
Luo, H. Arthur · 2017 · MacSphere (McMaster University) · 0 citations
This dissertation contains three essays on the non-pecuniary preferences pertaining to financial asset characteristics and their implications for asset pricing. The first essay considers the pricin...
The Impact of Independent Director and Dividend Policy on Corporate Performance
陳怡婷 · 2017 · Spectrum Research Repository (Concordia University) · 0 citations
[[abstract]]本文主要利用會計資訊系統與統計科學方法，探討獨立董事、股利政策與公司績效的關聯性。期望借重公司治理的監控機制，找出影響公司績效的顯著變數，提出公司的營運策略(財務決策)。進一步檢定，公司的股利政策，是否可以提高公司每股盈餘(earings per share, EPS)、使股價上漲，進而提高公司績效。實證分析上，選取102家上市公司資料，使用K-S檢定、M-U檢定、P...
Reading Guide
Foundational Papers
Start with Kleibergen and Paap (2003) for reduced rank tests using SVD (535 citations), then Wang and Zhang (2006) for pricing error evaluations (14 citations); these establish econometric testing foundations.
Recent Advances
Luo (2017) on characteristic-mimicking portfolios; 陳怡婷 (2017) linking dividends to performance; Atoyan (2016) on model-free hedging.
Core Methods
Singular value decomposition for rank tests (Kleibergen and Paap, 2003); Hansen-Jagannathan bounds for errors (Wang and Zhang, 2006); search-bargaining for OTC valuation (Duffie et al., 2006).
How PapersFlow Helps You Research Asset Pricing Models
Discover & Search
Research Agent uses searchPapers and citationGraph to map Kleibergen and Paap (2003) as the most-cited foundational work (535 citations), revealing connections to Wang and Zhang (2006). exaSearch uncovers empirical tests on pricing errors; findSimilarPapers extends to Duffie et al. (2006) for illiquidity models.
Analyze & Verify
Analysis Agent applies readPaperContent to extract Hansen-Jagannathan bounds from Wang and Zhang (2006), then verifyResponse with CoVe checks model specifications against abstracts. runPythonAnalysis computes reduced rank tests via NumPy on singular value decomposition from Kleibergen and Paap (2003); GRADE assigns evidence scores to pricing error claims.
Synthesize & Write
Synthesis Agent detects gaps in contingent claim coverage beyond static portfolios (Wang and Zhang, 2006), flagging contradictions in illiquidity impacts (Duffie et al., 2006). Writing Agent uses latexEditText and latexSyncCitations to draft model comparisons, latexCompile for equations, and exportMermaid for factor diagrams.
Use Cases
"Replicate variance bound tests from asset pricing literature using Python."
Research Agent → searchPapers('variance bound test') → Analysis Agent → runPythonAnalysis(pandas simulation of Hur, 1985 bounds) → matplotlib plots of pricing errors.
"Write LaTeX summary of Fama-French factors vs Hansen-Jagannathan errors."
Synthesis Agent → gap detection (Wang and Zhang, 2006) → Writing Agent → latexEditText(model equations) → latexSyncCitations(Kleibergen and Paap, 2003) → latexCompile(PDF report).
"Find GitHub repos implementing reduced rank tests for asset pricing."
Research Agent → citationGraph(Kleibergen and Paap, 2003) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect(econometric code for SVD tests).
Automated Workflows
Deep Research workflow scans 50+ papers via searchPapers, structures reports on pricing errors with GRADE grading from Wang and Zhang (2006). DeepScan applies 7-step CoVe verification to illiquidity models (Duffie et al., 2006), checkpointing empirical claims. Theorizer generates new multifactor hypotheses from Kleibergen and Paap (2003) reduced rank tests.
Frequently Asked Questions
What defines asset pricing models?
Frameworks relating expected asset returns to risk factors, tested via pricing errors in portfolios and contingent claims (Wang and Zhang, 2006).
What are key methods in asset pricing?
Hansen-Jagannathan bounds measure errors; singular value decomposition enables reduced rank tests (Kleibergen and Paap, 2003).
What are foundational papers?
Kleibergen and Paap (2003, 535 citations) on reduced rank tests; Wang and Zhang (2006, 14 citations) on empirical evaluations.
What open problems exist?
Distinguishing risk factors from characteristics (Luo, 2017); modeling OTC illiquidity discounts (Duffie et al., 2006).
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