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Machine Learning Mutual Fund Flows
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/jae.2910openalex-extracted
How is machine learning useful for macroeconomic forecasting?
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-extracted
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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/10.1016/0304-405x(95)00827-2openalex-extracted
Aggregate mutual fund flows and security returns
inferredcites →https://doi.org/10.1016/0377-2217(85)90321-2openalex-extracted
Classification and regression trees
inferredcites →https://doi.org/10.1016/j.csda.2017.11.003openalex-extracted
A note on the validity of cross-validation for evaluating autoregressive time series prediction
inferredcites →https://doi.org/10.1016/j.ijforecast.2018.09.006openalex-extracted
Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives
inferredcites →https://doi.org/10.1016/j.ijforecast.2022.03.002openalex-extracted
Real-time inflation forecasting using non-linear dimension reduction techniques
inferredcites →https://doi.org/10.1016/j.jbankfin.2012.07.004openalex-extracted
Mutual fund flows, expected returns, and the real economy
inferredcites →https://doi.org/10.1016/j.jeconom.2006.05.023openalex-extracted
Approximately normal tests for equal predictive accuracy in nested models
inferredcites →https://doi.org/10.1016/j.jfineco.2006.09.007openalex-extracted
Asset Fire Sales (and Purchases) in Equity Markets
inferredcites →https://doi.org/10.1016/j.jfineco.2007.07.001openalex-extracted
Dumb money: Mutual fund flows and the cross-section of stock returns
inferredcites →https://doi.org/10.1016/j.jfineco.2008.05.003openalex-extracted
Individual investor mutual fund flows☆
inferredcites →https://doi.org/10.1016/j.jfineco.2009.10.006openalex-extracted
When should firms share credit with employees? Evidence from anonymously managed mutual funds
inferredcites →https://doi.org/10.1016/j.jfineco.2010.03.016openalex-extracted
Payoff complementarities and financial fragility: Evidence from mutual fund outflows
inferredcites →https://doi.org/10.1016/j.jfineco.2010.08.018openalex-extracted
Measuring investor sentiment with mutual fund flows
inferredcites →https://doi.org/10.1016/j.jfineco.2013.06.004openalex-extracted
Allocation of Decision Rights and the Investment Strategy of Mutual Funds
inferredcites →https://doi.org/10.1016/j.jfineco.2014.10.010openalex-extracted
A five-factor asset pricing model
inferredcites →https://doi.org/10.1016/j.jfineco.2015.05.002openalex-extracted
Measuring skill in the mutual fund industry
inferredcites →https://doi.org/10.1016/j.jfineco.2015.08.010openalex-extracted
Assessing asset pricing models using revealed preference
inferredcites →https://doi.org/10.1016/j.jfineco.2016.02.008openalex-extracted
Indexing and active fund management: International evidence
inferredcites →https://doi.org/10.1016/j.jfineco.2016.11.007openalex-extracted
Investor flows and fragility in corporate bond funds
inferredcites →https://doi.org/10.1016/j.jfineco.2021.08.017openalex-extracted
Machine learning in the Chinese stock market
inferredcites →https://doi.org/10.1016/j.jfineco.2023.06.006openalex-extracted
Fire Sale Risk and Expected Stock Returns
inferredcites →https://doi.org/10.1016/j.jfineco.2023.07.004openalex-extracted
Machine-learning the skill of mutual fund managers
inferredcites →https://doi.org/10.1016/j.jfineco.2023.103737openalex-extracted
Machine learning and fund characteristics help to select mutual funds with positive alpha
inferredcites →https://doi.org/10.1016/j.jfineco.2024.103910openalex-extracted
From Man vs. Machine to Man + Machine: The art and AI of stock analyses
inferredcites →https://doi.org/10.1016/s0169-2070(96)00719-4openalex-extracted
Testing the equality of prediction mean squared errors
inferredcites →https://doi.org/10.1016/s0169-7439(97)00061-0openalex-extracted
Introduction to multi-layer feed-forward neural networks
inferredcites →https://doi.org/10.1016/s0304-405x(99)00028-8openalex-extracted
Investor flows and the assessed performance of open-end mutual funds
inferredcites →https://doi.org/10.1017/s0022109000014393openalex-extracted
Star Power: The Effect of Monrningstar Ratings on Mutual Fund Flow
inferredcites →https://doi.org/10.1017/s0022109009990500openalex-extracted
Fund Flow Volatility and Performance
inferredcites →https://doi.org/10.1017/s002210901600082xopenalex-extracted
Seasonal Asset Allocation: Evidence from Mutual Fund Flows
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-extracted
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1080/07350015.1995.10524599openalex-extracted
Comparing Predictive Accuracy
inferredcites →https://doi.org/10.1080/07350015.2019.1637745openalex-extracted
Forecasting Inflation in a Data-Rich Environment: The Benefits of Machine Learning Methods
inferredcites →https://doi.org/10.1086/374184openalex-extracted
Liquidity Risk and Expected Stock Returns
inferredcites →https://doi.org/10.1086/467244openalex-extracted
Consumer Reaction to Measures of Poor Quality: Evidence from the Mutual Fund Industry
inferredcites →https://doi.org/10.1086/516389openalex-extracted
Risk Taking by Mutual Funds as a Response to Incentives
inferredcites →https://doi.org/10.1093/rapstu/raaa015openalex-extracted
Mutual Fund Performance and Flows during the COVID-19 Crisis
inferredcites →https://doi.org/10.1093/rapstu/rav005openalex-extracted
Managerial Activeness and Mutual Fund Performance
inferredcites →https://doi.org/10.1093/rfs/hhaa009openalex-extracted
Empirical Asset Pricing via Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhaa043openalex-extracted
Models or Stars: The Role of Asset Pricing Models and Heuristics in Investor Risk Adjustment
inferredcites →https://doi.org/10.1093/rfs/hhaa045openalex-extracted
What Do Fund Flows Reveal About Asset Pricing Models and Investor Sophistication?
inferredcites →https://doi.org/10.1093/rfs/hhaa062openalex-extracted
Bond Risk Premiums with Machine Learning
inferredcites →https://doi.org/10.1093/rfs/hhab081openalex-extracted
What Do Mutual Fund Investors Really Care About?
inferredcites →https://doi.org/10.1093/rfs/hhad017openalex-extracted
Option Return Predictability with Machine Learning and Big Data
inferredcites →https://doi.org/10.1093/rfs/hhg054openalex-extracted
Family Values and the Star Phenomenon: Strategies of Mutual Fund Families
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/hhm055openalex-extracted
Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?
inferredcites →https://doi.org/10.1093/rfs/hhn042openalex-extracted
Mutual Fund Fees Around the World
inferredcites →https://doi.org/10.1093/rfs/hhs103openalex-extracted
A Flow-Based Explanation for Return Predictability
inferredcites →https://doi.org/10.1093/rfs/hhs182openalex-extracted
Mutual Fund's R 2 as Predictor of Performance
inferredcites →https://doi.org/10.1093/rfs/hhw054openalex-extracted
Which Factors Matter to Investors? Evidence from Mutual Fund Flows
inferredcites →https://doi.org/10.1093/rfs/hhx019openalex-extracted
The Characteristics that Provide Independent Information about Average U.S. Monthly Stock Returns
inferredcites →https://doi.org/10.1093/rfs/hhz054openalex-extracted
Dash for Cash: Monthly Market Impact of Institutional Liquidity Needs
inferredcites →https://doi.org/10.1093/rof/rfab016openalex-extracted
How Much Does Size Erode Mutual Fund Performance? A Regression Discontinuity Approach
inferredcites →https://doi.org/10.1093/rof/rfr027openalex-extracted
What Drives Market Share in the Mutual Fund Industry?
inferredcites →https://doi.org/10.1111/0022-1082.00066openalex-extracted
Costly Search and Mutual Fund Flows
inferredcites →https://doi.org/10.1111/0022-1082.00131openalex-extracted
Is Money Smart? A Study of Mutual Fund Investors' Fund Selection Ability
inferredcites →https://doi.org/10.1111/0022-1082.00410openalex-extracted
A First Look at the Accuracy of the CRSP Mutual Fund Database and a Comparison of the CRSP and Morningstar Mutual Fund Databases
inferredcites →https://doi.org/10.1111/fima.12378openalex-extracted
Investor Learning and Mutual Fund Flows
inferredcites →https://doi.org/10.1111/j.1467-9868.2005.00503.xopenalex-extracted
Regularization and Variable Selection Via the Elastic Net
inferredcites →https://doi.org/10.1111/j.1540-6261.1996.tb02707.xopenalex-extracted
Another Puzzle: The Growth in Actively Managed Mutual Funds
inferredcites →https://doi.org/10.1111/j.1540-6261.1997.tb03808.xopenalex-extracted
On Persistence in Mutual Fund Performance
inferredcites →https://doi.org/10.1111/j.1540-6261.2007.01236.xopenalex-extracted
Participation Costs and the Sensitivity of Fund Flows to Past Performance
inferredcites →https://doi.org/10.1111/j.1540-6261.2008.01311.xopenalex-extracted
Which Money Is Smart? Mutual Fund Buys and Sells of Individual and Institutional Investors
inferredcites →https://doi.org/10.1111/j.1540-6261.2009.01497.xopenalex-extracted
The Relation between Price and Performance in the Mutual Fund Industry
inferredcites →https://doi.org/10.1111/j.1540-6261.2010.01579.xopenalex-extracted
Mutual Fund Incubation
inferredcites →https://doi.org/10.1126/sciadv.adk3452openalex-extracted
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
inferredcites →https://doi.org/10.1146/annurev-economics-080217-053433openalex-extracted
Machine Learning Methods That Economists Should Know About
inferredcites →https://doi.org/10.1146/annurev-financial-101521-104735openalex-extracted
Factor Models, Machine Learning, and Asset Pricing
inferredcites →https://doi.org/10.1287/mnsc.2021.03417openalex-extracted
Mutual Fund Shareholder Letters: Flows, Performance, and Managerial Behavior
inferredcites →https://doi.org/10.1287/mnsc.2023.4695openalex-extracted
Deep Learning in Asset Pricing
inferredcites →https://doi.org/10.2139/ssrn.1661447openalex-extracted
How Much Does Size Erode Mutual Fund Performance? A Regression Discontinuity Approach
inferredcites →https://doi.org/10.2139/ssrn.1720105openalex-extracted
Mutual Fund Flows, Expected Returns, and the Real Economy
inferredcites →https://doi.org/10.2139/ssrn.350664openalex-extracted
A First Look at the Accuracy of the Crsp Mutual Fund Database and a Comparison of the Crsp and Morningstar Mutual Fund Databases
inferredcites →https://doi.org/10.2139/ssrn.3737667openalex-extracted
Selecting Mutual Funds from the Stocks They Hold: A Machine Learning Approach
inferredcites →https://doi.org/10.2139/ssrn.4159149openalex-extracted
Common Fund Flows: Flow Hedging and Factor Pricing
inferredcites →https://doi.org/10.2307/1913610openalex-extracted
A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
inferredcites →https://doi.org/10.2307/2171956openalex-extracted
Asymptotic Inference about Predictive Ability
inferredcites →https://doi.org/10.2307/2297912openalex-extracted
Automatic Lag Selection in Covariance Matrix Estimation
inferredcites →https://doi.org/10.2307/2332510openalex-extracted
The Generalization of `Student's' Problem when Several Different Population Variances are Involved
inferredcites →https://doi.org/10.2307/3595011openalex-extracted
The Determinants of the Flow of Funds of Managed Portfolios: Mutual Funds vs. Pension Funds
inferredcites →https://doi.org/10.4230/oasics.dx.2024.27openalex-extracted
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1603.06560openalex-extracted
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-extracted
A Unified Approach to Interpreting Model Predictions
inferredcites →https://doi.org/10.48550/arxiv.2109.09847openalex-extracted
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees
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