On the public citation graph

Transfer Learning for Expected Returns

0 signed · 54 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01424-7_27openalex-extracted
A Survey on Deep Transfer Learning
inferredcites →https://doi.org/10.1016/0304-405x(93)90023-5openalex-extracted
Common risk factors in the returns on stocks and bonds
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-extracted
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/j.jfineco.2010.08.014openalex-extracted
Maxing out: Stocks as lotteries and the cross-section of expected returns
inferredcites →https://doi.org/10.1016/j.jfineco.2011.07.001openalex-extracted
Religious beliefs, gambling attitudes, and financial market outcomes
inferredcites →https://doi.org/10.1016/j.jfineco.2018.05.006openalex-extracted
Size matters, if you control your junk
inferredcites →https://doi.org/10.1016/j.jfineco.2019.05.001openalex-extracted
Characteristics are covariances: A unified model of risk and return
inferredcites →https://doi.org/10.1016/j.jfineco.2019.06.008openalex-extracted
Shrinking the cross-section
inferredcites →https://doi.org/10.1016/s1386-4181(01)00024-6openalex-extracted
Illiquidity and stock returns: cross-section and time-series effects
inferredcites →https://doi.org/10.1017/s0022109017000928openalex-extracted
A Lottery-Demand-Based Explanation of the Beta Anomaly
inferredcites →https://doi.org/10.1080/0015198x.2018.1547057openalex-extracted
Comparing Cost-Mitigation Techniques
inferredcites →https://doi.org/10.1093/revfin/hhm011openalex-extracted
Equilibrium Underdiversification and the Preference for Skewness
inferredcites →https://doi.org/10.1093/rfs/8.2.275openalex-extracted
A Critique of Size-Related Anomalies
inferredcites →https://doi.org/10.1093/rfs/hhaa009openalex-extracted
Empirical Asset Pricing via Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhaa020openalex-extracted
Factors That Fit the Time Series and Cross-Section of Stock Returns
inferredcites →https://doi.org/10.1093/rfs/hhae044openalex-extracted
A Comprehensive 2022 Look at the Empirical Performance of Equity Premium Prediction
inferredcites →https://doi.org/10.1093/rfs/hhm014openalex-extracted
A Comprehensive Look at The Empirical Performance of Equity Premium Prediction
inferredcites →https://doi.org/10.1093/rfs/hhp041openalex-extracted
Expected Idiosyncratic Skewness
inferredcites →https://doi.org/10.1093/rfs/hhv063openalex-extracted
A Taxonomy of Anomalies and Their Trading Costs
inferredcites →https://doi.org/10.1093/rfs/hhx084openalex-extracted
A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices
inferredcites →https://doi.org/10.1093/rof/rfw007openalex-extracted
Home Bias, an Academic Puzzle
inferredcites →https://doi.org/10.1111/0022-1082.00192openalex-extracted
The Delisting Bias in CRSP's Nasdaq Data and Its Implications for the Size Effect
inferredcites →https://doi.org/10.1111/0022-1082.00209openalex-extracted
Characteristics, Covariances, and Average Returns: 1929 to 1997
inferredcites →https://doi.org/10.1111/j.1540-6261.2006.00836.xopenalex-extracted
The Cross‐Section of Volatility and Expected Returns
inferredcites →https://doi.org/10.1111/j.1540-6261.2008.01415.xopenalex-extracted
Estimating the Intertemporal Risk–Return Tradeoff Using the Implied Cost of Capital
inferredcites →https://doi.org/10.1111/j.1540-6261.2010.01575.xopenalex-extracted
Predictive Regressions: A Present‐Value Approach
inferredcites →https://doi.org/10.1111/jofi.13249openalex-extracted
Is There a Replication Crisis in Finance?
inferredcites →https://doi.org/10.1146/annurev-financial-101521-104735openalex-extracted
Factor Models, Machine Learning, and Asset Pricing
inferredcites →https://doi.org/10.1257/aer.98.5.2066openalex-extracted
Stocks as Lotteries: The Implications of Probability Weighting for Security Prices
inferredcites →https://doi.org/10.2139/ssrn.1262416openalex-extracted
Maxing Out: Stocks as Lotteries and the Cross-Section of Expected Returns
inferredcites →https://doi.org/10.2139/ssrn.1356733openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.2725981openalex-extracted
A Simple Estimation of Bid-Ask Spreads from Daily Close, High, and Low Prices
inferredcites →https://doi.org/10.2139/ssrn.3211106openalex-extracted
Factors That Fit the Time Series and Cross-Section of Stock Returns
inferredcites →https://doi.org/10.2139/ssrn.3450322openalex-extracted
Machine Learning Versus Economic Restrictions: Evidence from Stock Return Predictability
inferredcites →https://doi.org/10.2139/ssrn.3624052openalex-extracted
Can Machines 'Learn' Finance?
inferredcites →https://doi.org/10.2139/ssrn.3771261openalex-extracted
The Implied Equity Term Structure
inferredcites →https://doi.org/10.2139/ssrn.3805379openalex-extracted
inferredcites →https://doi.org/10.2139/ssrn.4292028openalex-extracted
Empirical Asset Pricing via Ensemble Gaussian Process Regression
inferredcites →https://doi.org/10.2139/ssrn.630821openalex-extracted
Equilibrium Underdiversification and the Preference for Skewness
inferredcites →https://doi.org/10.2139/ssrn.649421openalex-extracted
Stocks as Lotteries: the Implications of Probability Weighting for Security Prices
inferredcites →https://doi.org/10.2139/ssrn.873631openalex-extracted
Estimating the Intertemporal Risk-Return Tradeoff Using the Implied Cost of Capital
inferredcites →https://doi.org/10.2139/ssrn.98678openalex-extracted
Characteristics, Covariances, and Average Returns: 1929-1997
inferredcites →https://doi.org/10.2307/1912971openalex-extracted
A Note on the Use of Proxy Variables
inferredcites →https://doi.org/10.2307/2329112openalex-extracted
inferredcites →https://doi.org/10.2307/j.ctt1287kz5openalex-extracted
Irrational Exuberance
inferredcites →https://doi.org/10.3386/w29543openalex-extracted
Social Interactions and Lottery Stock Mania
inferredcites →https://doi.org/10.48550/arxiv.2210.05189openalex-extracted
Neural Networks are Decision Trees
inferredcites →https://doi.org/10.1016/j.jfineco.2021.10.006openalex-snapshot
Market efficiency in the age of big data
inferredcites →https://doi.org/10.1111/j.1540-6261.1992.tb04398.xopenalex-snapshot
The Cross-Section of Expected Stock Returns
inferredcites →https://doi.org/10.1111/j.1540-6261.2009.01483.xopenalex-snapshot
Who Gambles in the Stock Market?
inferredcites →https://doi.org/10.1111/jofi.12612openalex-snapshot
Interpreting Factor Models
inferredcites →https://doi.org/10.1111/jofi.12778openalex-snapshot
What Is the Expected Return on a Stock?
inferredcites →https://doi.org/10.1111/jofi.13225openalex-snapshot
Model Comparison with Transaction Costs

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3536835openalex-extracted
Diverging Roads: Theory-Based vs. Machine Learning-Implied Stock Risk Premia
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.