Abadie, Alberto, Susan Athey, Guido W Imbens, and Jeffrey Wooldridge. 2017. When should you adjust standard errors for clustering? Working Paper.
Allaire, JJ, and François Chollet. 2022. keras: R interface to ’Keras’.
Areal, Nelson. 2021. frenchdata: Download data sets from Kenneth’s French finance data library site.
Armstrong, Whit, Dirk Eddelbuettel, and John Laing. 2022. Rblpapi: R Interface to ’Bloomberg’.
Arnott, Rob, Campbell R. Harvey, and Harry Markowitz. 2019. A backtesting protocol in the era of machine learning.” The Journal of Financial Data Science 1 (1): 64–74.
Avramov, Doron, Si Cheng, and Lior Metzker. 2022. Machine learning vs. economic restrictions: Evidence from stock return predictability.” Management Science (Forthcoming).
Avramov, Doron, Si Cheng, Lior Metzker, and Stefan Voigt. 2022. Integrating factor models.” The Journal of Finance (Forthcoming).
Bai, Jennie, Turan G Bali, and Quan Wen. 2019. Common risk factors in the cross-section of corporate bond returns.” Journal of Financial Economics 131 (3): 619–42.
Balduzzi, Pierluigi, and Anthony W Lynch. 1999. Transaction costs and predictability: Some utility cost calculations.” Journal of Financial Economics 52 (1): 47–78.
———. 2000. Predictability and transaction costs: The impact on rebalancing rules and behavior.” The Journal of Finance 55 (5): 2285–2309.
Bali, Turan G, Robert F Engle, and Scott Murray. 2016. Empirical asset pricing: The cross section of stock returns. John Wiley & Sons.
Ball, Ray. 1978. Anomalies in relationships between securities’ yields and yield-surrogates.” Journal of Financial Economics 6 (2–3): 103–26.
Banz, Rolf W. 1981. The relationship between return and market value of common stocks.” Journal of Financial Economics 9 (1): 3–18.
Bergé, Laurent. 2018. Efficient estimation of maximum likelihood models with multiple fixed-effects: The R package FENmlm.” CREA Discussion Papers.
Bessembinder, Hendrik, Kathleen M Kahle, William F Maxwell, and Danielle Xu. 2008. Measuring abnormal bond performance.” Review of Financial Studies 22 (10): 4219–58.
Bessembinder, Hendrik, William Maxwell, and Kumar Venkataraman. 2006. Market transparency, liquidity externalities, and institutional trading costs in corporate bonds.” Journal of Financial Economics 82 (2): 251–88.
Black, Fischer, and Myron Scholes. 1973. The pricing of options and corporate liabilities.” Journal of Political Economy 81 (3): 637–54.
Boudt, Kris, Jonathan Cornelissen, Scott Payseur, Onno Kleen, and Emil Sjoerup. 2022. Highfrequency: Tools for Highfrequency Data Analysis.
Boysel, Sam, and Davis Vaughan. 2021. fredr: An R client for the ’FRED’ API.
Brandt, Michael W. 2010. Portfolio choice problems.” In Handbook of Financial Econometrics: Tools and Techniques, edited by Yacine Ait-Sahalia and Lars Peter Hansen, 1:269–336. Handbooks in Finance. North-Holland.
Brandt, Michael W, Pedro Santa-Clara, and Rossen Valkanov. 2009. Parametric portfolio policies: Exploiting characteristics in the cross-section of equity returns.” Review of Financial Studies 22 (9): 3411–47.
Brown, Stephen J. 1976. Optimal portfolio choice under uncertainty: A Bayesian approach.” PhD Thesis, University of Chicago.
Bryan, Jennifer. 2022. Happy Git and GitHub for the useR.
Bryzgalova, Svetlana, Markus Pelger, and Jason Zhu. 2022. Forest through the trees: Building cross-sections of stock returns.” Working Paper.
Cameron, A. Colin, Jonah B. Gelbach, and Douglas L. Miller. 2011. Robust inference with multiway clustering.” Journal of Business & Economic Statistics 29 (2): 238–49.
Campbell, John Y. 1987. Stock returns and the term structure.” Journal of Financial Economics 18 (2): 373–99.
Campbell, John Y., Jens Hilscher, and Jan Szilagyi. 2008. In search of distress risk.” The Journal of Finance 63 (6): 2899–939.
Campbell, John Y., Andrew W. Lo, A. Craig MacKinlay, and Robert F. Whitelaw. 1998. “The Econometrics of Financial Markets.” Macroeconomic Dynamics 2 (4): 559–62.
Campbell, John Y., and Robert J. Shiller. 1988. Stock prices, earnings, and expected dividends.” The Journal of Finance 43 (3): 661–76.
Campbell, John Y., and Tuomo Vuolteenaho. 2004. Inflation illusion and stock prices.” American Economic Review 94 (2): 19–23.
Campbell, John Y., and Motohiro Yogo. 2006. Efficient tests of stock return predictability.” Journal of Financial Economics 81 (1): 27–60.
Cara, Charles. 2021. DatastreamDSWS2R: Provides a Link Between the ’Refinitiv Datastream’ System and r.
Chen, Andrew Y., and Tom Zimmermann. 2022. “Open Source Cross-Sectional Asset Pricing.” Critical Finance Review 11 (2): 207–64.
Chen, Hong-Yi, Alice C Lee, and Cheng-Few Lee. 2015. Alternative errors-in-variables models and their applications in finance research.” The Quarterly Review of Economics and Finance 58: 213–27.
Chen, Luyang, Markus Pelger, and Jason Zhu. 2019. Deep learning in asset pricing.” Management Science (Forthcoming).
Chopra, Vijay Kumar, and William T. Ziemba. 1993. The effect of errors in means, variances, and covariances on optimal portfolio choice.” Journal of Portfolio Management 19 (2): 6–11.
Cochrane, John H. 2005. Writing tips for PhD students.” Note.
———. 2009. Asset pricing (revised edition). Princeton University Press.
———. 2011. Presidential address: Discount rates.” The Journal of Finance 66 (4): 1047–1108.
Coqueret, Guillaume, and Tony Guida. 2020. Machine learning for factor investing: R version. Chapman; Hall/CRC.
D’Agostino McGowan, Lucy, and Jennifer Bryan. 2021. googledrive: An interface to google drive.
Dancho, Matt, and Davis Vaughan. 2022a. tidyquant: Tidy quantitative financial analysis.
———. 2022b. timetk: A tool kit for working with time series in R.
Davis, Mark H. A., and Andrew R. Norman. 1990. Portfolio selection with transaction costs.” Mathematics of Operations Research 15 (4): 676–713.
De Prado, Marcos Lopez. 2018. Advances in financial machine learning. John Wiley & Sons.
DeMiguel, Victor, Alberto Martín-Utrera, and Francisco J. Nogales. 2015. Parameter uncertainty in multiperiod portfolio optimization with transaction costs.” Journal of Financial and Quantitative Analysis 50 (6): 1443–71.
DeMiguel, Victor, Francisco J. Nogales, and Raman Uppal. 2014. Stock return serial dependence and out-of-sample portfolio performance.” Review of Financial Studies 27 (4): 1031–73.
Dick-Nielsen, Jens. 2009. Liquidity biases in TRACE.” The Journal of Fixed Income 19 (2): 43–55.
———. 2014. How to clean enhanced TRACE data.” Working Paper.
Dick-Nielsen, Jens, Peter Feldhütter, and David Lando. 2012. Corporate bond liquidity before and after the onset of the subprime crisis.” Journal of Financial Economics 103 (3): 471–92.
Dixon, Matthew F., Igor Halperin, and Paul Bilokon. 2020. Machine learning in finance. Springer.
Donald, Stephen, and Kevin Lang. 2007. Inference with difference-in-differences and other panel data.” The Review of Economics and Statistics 89 (2): 221–33.
Easley, David, Marcos de Prado, Maureen O’Hara, and Zhibai Zhang. 2020. Microstructure in the machine age.” Review of Financial Studies 34 (7): 3316–63.
Edwards, Amy K., Lawrence E. Harris, and Michael S. Piwowar. 2007. Corporate bond market transaction costs and transparency.” The Journal of Finance 62 (3): 1421–51.
Erickson, Timothy, and Toni M. Whited. 2012. Treating measurement error in Tobin’s q.” Review of Financial Studies 25 (4): 1286–1329.
Fama, Eugene F., and Kenneth R. French. 1989. Business conditions and expected returns on stocks and bonds.” Journal of Financial Economics 25 (1): 23–49.
———. 1992. The cross-section of expected stock returns.” The Journal of Finance 47 (2): 427–65.
———. 1993. Common risk factors in the returns on stocks and bonds.” Journal of Financial Economics 33 (1): 3–56.
———. 1997. “Industry Costs of Equity.” Journal of Financial Economics 43 (2): 153–93.
Fama, Eugene F., and James D. MacBeth. 1973. Risk, return, and equilibrium: Empirical tests.” Journal of Political Economy 81 (3): 607–36.
Fan, Jianqing, Yingying Fan, and Jinchi Lv. 2008. High dimensional covariance matrix estimation using a factor model.” Journal of Econometrics 147 (1): 186–97.
Fazzari, Steven M., R. Glenn Hubbard, Bruce C. Petersen, Alan S. Blinder, and James M. Poterba. 1988. Financing constraints and corporate investment.” Brookings Papers on Economic Activity 1988 (1): 141–206.
Frazzini, Andrea, and Lasse Heje Pedersen. 2014. Betting against beta.” Journal of Financial Economics 111 (1): 1–25.
Gagliardini, Patrick, Elisa Ossola, and Olivier Scaillet. 2016. Time-varying risk premium in large cross-sectional equity data sets.” Econometrica 84 (3): 985–1046.
Gareth, James, Witten Daniela, Hastie Trevor, and Tibshirani Robert. 2013. An introduction to statistical learning: With applications in R. Spinger.
Garlappi, Lorenzo, Raman Uppal, and Tan Wang. 2007. Portfolio selection with parameter and model uncertainty: A multi-prior approach.” Review of Financial Studies 20 (1): 41–81.
Gârleanu, Nicolae, and Lasse Heje Pedersen. 2013. Dynamic trading with predictable returns and transaction costs.” The Journal of Finance 68 (6): 2309–40.
Gehrig, Thomas, Leopold Sögner, and Arne Westerkamp. 2020. Making portfolio policies work.” Working Paper.
Goldstein, Itay, Ralph S J Koijen, and Holger M. Mueller. 2021. COVID-19 and its impact on financial markets and the real economy.” Review of Financial Studies 34 (11): 5135–48.
Gomolka, Matthias. 2021. Simfinapi: Accessing ’SimFin’ Data.
Grolemund, Garrett, and Hadley Wickham. 2011. Dates and times made easy with lubridate.” Journal of Statistical Software 40 (3): 1–25.
Gu, Shihao, Bryan Kelly, and Dacheng Xiu. 2020. Empirical asset pricing via machine learning.” Edited by Andrew Karolyi. Review of Financial Studies 33 (5): 2223–73.
Gulen, Huseyin, and Mihai Ion. 2015. Policy uncertainty and corporate investment.” Review of Financial Studies 29 (3): 523–64.
Guo, Hui. 2006. On the out-of-sample predictability of stock market returns.” The Journal of Business 79 (2): 645–70.
Halling, Michael, Jin Yu, and Josef Zechner. 2021. “Primary Corporate Bond Markets and Social Responsibility.” Working Paper.
Handler, Lukas, Rainer Jankowitsch, and Alexander Pasler. 2022. “The Effects of ESG Performance and Preferences on US Corporate Bond Prices.” Working Paper.
Handler, Lukas, Rainer Jankowitsch, and Patrick Weiss. 2021. Covenant prices of US corporate bonds.” Working Paper.
Harvey, Campbell R., Yan Liu, and Heqing Zhu. 2016. \(\ldots\) and the cross-section of expected returns.” Review of Financial Studies 29 (1): 5–68.
Hasler, Mathias. 2021. “Is the Value Premium Smaller Than We Thought?” Working Paper.
Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2009. The elements of statistical learning: Data mining, inference and prediction. 2nd ed. Springer.
Hautsch, Nikolaus, Lada M. Kyj, and Peter Malec. 2015. Do high-frequency data improve high-dimensional portfolio allocations? Journal of Applied Econometrics 30 (2): 263–90.
Hautsch, Nikolaus, and Stefan Voigt. 2019. Large-scale portfolio allocation under transaction costs and model uncertainty.” Journal of Econometrics 212 (1): 221–40.
Henry, Lionel, and Hadley Wickham. 2020. purrr: Functional programming tools.
———. 2022. rlang: Functions for base types and core R and ’Tidyverse’ features.
Hoerl, Arthur E., and Robert W. Kennard. 1970. Ridge regression: Applications to nonorthogonal problems.” Technometrics 12 (1): 69–82.
Hornik, Kurt. 1991. Approximation capabilities of multilayer feedforward networks.” Neural Networks 4 (2): 251–57.
Hou, Kewei, Chen Xue, and Lu Zhang. 2014. Digesting anomalies: An investment approach.” Review of Financial Studies 28 (3): 650–705.
———. 2020. Replicating anomalies.” Review of Financial Studies 33 (5): 2019–2133.
Huang, Jing-Zhi, and Zhan Shi. 2021. What do we know about corporate bond returns? Annual Review of Financial Economics 13 (1): 363–99.
Hull, John C. 2020. Machine learning in business. An introduction to the world of data science. Independently published.
Huynh, Thanh D., and Ying Xia. 2021. “Climate Change News Risk and Corporate Bond Returns.” Journal of Financial and Quantitative Analysis 56 (6): 1985–2009.
Ibrahim, Myriam. 2021. Riex: IEX Stocks and Market Data.
Jacobsen, Ben. 2014. Some research and writing tips.” Note.
Jagannathan, Ravi, and Tongshu Ma. 2003. Risk reduction in large portfolios: Why imposing the wrong constraints helps.” The Journal of Finance 58 (4): 1651–84.
Jegadeesh, Narasimhan, and Sheridan Titman. 1993. Returns to buying winners and selling losers: Implications for stock market efficiency.” The Journal of Finance 48 (1): 65–91.
Jensen, Theis Ingerslev, Bryan T. Kelly, Semyon Malamud, and Lasse Heje Pedersen. 2022. “Machine Learning and the Implementable Efficient Frontier.” Working Paper.
Jensen, Theis Ingerslev, Bryan T. Kelly, and Lasse Heje Pedersen. 2022. “Is There a Replication Crisis in Finance?” The Journal of Finance (Forthcoming).
Jiang, Jingwen, Bryan T. Kelly, and Dacheng Xiu. 2022. (Re-)Imag(in)ing Price Trends.” The Journal of Finance (Forthcoming).
Jobson, David J., and Bob Korkie. 1980. Estimation for Markowitz efficient portfolios.” Journal of the American Statistical Association 75 (371): 544–54.
Jorion, Philippe. 1986. Bayes-Stein estimation for portfolio analysis.” Journal of Financial and Quantitative Analysis 21 (03): 279–92.
Kan, Raymond, and Guofu Zhou. 2007. Optimal portfolio choice with parameter uncertainty.” Journal of Financial and Quantitative Analysis 42 (3): 621–56.
Kearney, Michael W. 2019. “Rtweet: Collecting and Analyzing Twitter Data.” Journal of Open Source Software 4 (42): 1829.
Kelly, Bryan T., Diogo Palhares, and Seth Pruitt. 2021. Modeling corporate bond returns.” Working Paper.
Kiesling, Lynne. 2003. Writing tips for economics (and pretty much anything else).” Note.
Kim, Dongcheol. 1995. The errors in the variables problem in the cross-section of expected stock returns.” The Journal of Finance 50 (5): 1605–34.
Kleen, Onno. 2021. Alfred: Downloading Time Series from ALFRED Database for Various Vintages.
Kothari, S. P., and Jay A. Shanken. 1997. Book-to-market, dividend yield, and expected market returns: A time-series analysis.” Journal of Financial Economics 44 (2): 169–203.
Kuhn, Max, and Julia Silge. 2018. Tidy modeling with R. John Wiley & Sons.
Kuhn, Max, and Hadley Wickham. 2020. Tidymodels: a collection of packages for modeling and machine learning using tidyverse principles.
Lamont, Owen. 1998. Earnings and expected returns.” The Journal of Finance 53 (5): 1563–87.
Ledoit, Olivier, and Michael Wolf. 2003. Improved estimation of the covariance matrix of stock returns with an application to portfolio selection.” Journal of Empirical Finance 10 (5): 603–21.
———. 2004. Honey, I shrunk the sample covariance matrix.” The Journal of Portfolio Management 30 (4): 110–19.
———. 2012. Nonlinear shrinkage estimation of large-dimensional covariance matrices.” The Annals of Statistics 40 (2): 1024–60.
Lintner, John. 1965. Security prices, risk, and maximal gains from diversification.” The Journal of Finance 20 (4): 587–615.
Magill, Michael J P, and George M. Constantinides. 1976. Portfolio selection with transactions costs.” Journal of Economic Theory 13 (2): 245–63.
Markowitz, Harry. 1952. Portfolio selection.” The Journal of Finance 7 (1): 77–91.
Massicotte, Philippe, and Dirk Eddelbuettel. 2022. gtrendsR: Perform and Isplay Google Trends Queries.
Mclean, R. David, and Jeffrey Pontiff. 2016. Does academic research destroy stock return predictability? The Journal of Finance 71 (1): 5–32.
McTaggart, Raymond, Gergely Daroczi, and Clement Leung. 2021. Quandl: API Wrapper for
Menkveld, Albert J., Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Kirchler, Sebastian Neusüss, Michael Razen, and Utz Weitzel. 2021. Non-standard errors.” Working Paper.\%5Fid=3961574.
Merton, Robert C. 1972. An analytic derivation of the efficient portfolio frontier.” Journal of Financial and Quantitative Analysis 7 (4): 1851–72.
Mossin, Jan. 1966. Equilibrium in a capital asset market.” Econometrica 34 (4): 768–83.
Mullainathan, Sendhil, and Jann Spiess. 2017. Machine learning: An applied econometric approach.” Journal of Economic Perspectives 31 (2): 87–106.
Müller, Kirill, and Hadley Wickham. 2022. tibble: Simple data frames.
Müller, Kirill, Hadley Wickham, David A. James, and Seth Falcon. 2022. RSQLite: SQLite interface for R.
Nagel, Stefan. 2021. Machine learning in asset pricing. Princeton University Press.
Newey, Whitney .K, and Kenneth D. West. 1994. Automatic lag selection in covariance matrix estimation.” The Review of Economic Studies 61 (4): 631–53.
Newey, Whitney K., and Kenneth D. West. 1987. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance Matrix.” Econometrica 55 (3): 703–8.
O’Hara, Maureen, and Xing Alex Zhou. 2021. Anatomy of a liquidity crisis: Corporate bonds in the COVID-19 crisis.” Journal of Financial Economics 142 (1): 46–68.
Persson, Eric. 2021. Ecb: Programmatic Access to the European Central Bank’s Statistical Data Warehouse.
Peters, Ryan H., and Lucian A. Taylor. 2017. Intangible capital and the investment-q relation.” Journal of Financial Economics 123 (2): 251–72.
Petersen, Mitchell A. 2008. Estimating standard errors in finance panel data sets: Comparing approaches.” Review of Financial Studies 22 (1): 435–80.
Pflug, Georg, Alois Pichler, and David Wozabal. 2012. The 1/N investment strategy is optimal under high model ambiguity.” Journal of Banking & Finance 36 (2): 410–17.
Puhr, Harald, and Jakob Müllner. 2021. Let me Google that for you: Capturing globalization using Google Trends.” Working Paper.
R Core Team. 2022. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.
Ram, Karthik, and Hadley Wickham. 2018. wesanderson: A Wes Anderson palette generator.
Regenstein Jr, Jonathan K. 2018. Reproducible finance with R: Code flows and shiny apps for portfolio analysis. Chapman; Hall/CRC.
Roberts, Michael R., and Toni M. Whited. 2013. “Endogeneity in Empirical Corporate Finance.” In Handbook of the Economics of Finance, 2:493–572. Elsevier.
Robinson, David, Alex Hayes, and Simon Couch. 2022. broom: Convert statistical objects into tidy tibbles.
Seltzer, Lee H., Laura Starks, and Qifei Zhu. 2022. “Climate Regulatory Risk and Corporate Bonds.” Working Paper.
Shanken, Jay. 1992. On the estimation of beta-pricing models.” Review of Financial Studies 5 (1): 1–33.
Sharpe, William F. 1964. Capital asset prices: A theory of market equilibrium under conditions of risk .” The Journal of Finance 19 (3): 425–42.
Silge, Julia, Fanny Chow, Max Kuhn, and Hadley Wickham. 2022. rsample: General resampling infrastructure.
Simon, Noah, Jerome Friedman, Trevor Hastie, and Rob Tibshirani. 2011. Regularization paths for Cox’s proportional hazards model via coordinate descent.” Journal of Statistical Software 39 (5): 1–13.
Soebhag, Amar, Bart Van Vliet, and Patrick Verwijmeren. 2022. “Mind Your Sorts.” Working Paper.
Stoeckl, Sebastian. 2022. Crypto2: Download Crypto Currency Data from ’CoinMarketCap’ Without ’API’.
Tibshirani, Robert. 1996. Regression shrinkage and selection via the LASSO.” Journal of the Royal Statistical Society. Series B (Methodological) 58 (1): 267–88.
Tsay, Ruey S. 2010. Analysis of financial time series. John Wiley & Sons.
Turlach, Berwin A., Andreas Weingessel, and Cleve Moler. 2019. quadprog: Functions to solve quadratic programming problems.
Varadhan, Ravi. 2022. alabama: Constrained nonlinear optimization.
Vaughan, Davis. 2021. slider: Sliding window functions.
Vaughan, Davis, and Matt Dancho. 2022. furrr: Apply mapping functions in parallel using futures.
Vaughan, Davis, and Max Kuhn. 2022. hardhat: Construct modeling packages.
Waldstein, Micah J. 2021. edgarWebR: SEC Filings Access.
Walter, Dominik, Rüdiger Weber, and Patrick Weiss. 2022. Non-standard errors in portfolio sorts.” Working Paper.
Wang, Zhenyu. 2005. A shrinkage approach to model uncertainty and asset allocation.” Review of Financial Studies 18 (2): 673–705.
Wasserstein, Ronald L., and Nicole A. Lazar. 2016. The ASA Statement on p-Values: Context, process, and purpose.” The American Statistician 70 (2): 129–33.
Welch, Ivo, and Amit Goyal. 2008. A comprehensive look at the empirical performance of equity premium prediction.” Review of Financial Studies 21 (4): 1455–1508.
Wickham, Hadley. 2014. Tidy data.” Journal of Statistical Software 59 (1): 1–23.
———. 2016. ggplot2: Elegant graphics for data analysis. Springer-Verlag New York.
———. 2019. stringr: Simple, consistent wrappers for common string operations.
———. 2021. forcats: Tools for working with categorical variables (Factors).
Wickham, Hadley, Mara Averick, Jennifer Bryan, Winston Chang, Lucy D’Agostino McGowan, Romain François, Garrett Grolemund, et al. 2019. Welcome to the Tidyverse.” Journal of Open Source Software 4 (43): 1686.
Wickham, Hadley, and Jennifer Bryan. 2022. readxl: Read excel files.
Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2022. dplyr: A grammar of data manipulation.
Wickham, Hadley, and Maximilian Girlich. 2022. tidyr: Tidy messy data.
Wickham, Hadley, Maximilian Girlich, and Edgar Ruiz. 2022. dbplyr: A ’dplyr’ back end for databases.
Wickham, Hadley, and Garrett Grolemund. 2016. R for data science: Import, tidy, transform, visualize, and model data. O’Reilly.
Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2022. readr: Read rectangular text data.
Wickham, Hadley, Jim Hester, Winston Chang, and Jennifer Bryan. 2022. devtools: Tools to make developing R packages easier.
Wickham, Hadley, Jeroen Ooms, and Kirill Müller. 2022. RPostgres: Rcpp interface to PostgreSQL.
Wickham, Hadley, and Dana Seidel. 2022. scales: Scale functions for visualization.
Wilkinson, Leland. 2012. The grammar of graphics. Springer.
Wooldridge, Jefrey M. 2010. Econometric analysis of cross section and panel data. The MIT Press.
Wright, Marvin N., and Andreas Ziegler. 2017. ranger: A fast implementation of random forests for high dimensional data in C++ and R.” Journal of Statistical Software 77 (1): 1–17.
Xie, Yihui. 2016. bookdown: Authoring books and technical documents with R Markdown. Chapman; Hall/CRC.
Xie, Yihui, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The definitive guide. Chapman; Hall/CRC.
Xie, Yihui, Christophe Dervieux, and Emily Riederer. 2020. R markdown cookbook. Chapman; Hall/CRC.
Zaffaroni, Paolo, and Guofu Zhou. 2022. Asset pricing: Cross-section predictability.” Working Paper.
Zeileis, Achim. 2006. Object-Oriented computation of sandwich estimators.” Journal of Statistical Software 16 (9): 1–16.
Zeileis, Achim, and Torsten Hothorn. 2002. Diagnostic checking in regression relationships.” R News 2 (3): 7–10.
Zou, Hui, and Trevor Hastie. 2005. Regularization and variable selection via the elastic net.” Journal of the Royal Statistical Society. Series B (Statistical Methodology) 67 (2): 301–20.