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Which papers released in the last five years should all quants read to keep up to date on recent developments?
See this question for the best must-read papers of all time. The bar for inclusion for an answer to this question is a bit lower. I'm more interested in papers that start new trends or give a very good overview of a new subfield.
Another older question with good answers is this one.
Gatheral, Jaisson and Rosenbaum (2018, QF) further popularise a stream of the literature which emphasises the non-smoothness of volatility paths. These models build on a fractional Brownian motion, with Gatheral et al. proposing a Hurst parameter $H<\frac{1}{2}$ and demonstrating the model's ability to match volatility time series. Fractional volatility models trace back at least as far back as Comte and Renault (1998, MF).
An extensive list of papers in the area is given here. Recent contributions include, for example, El Euch and Rosenbaum (2019, MF) deriving the corresponding characteristic function for the rough Heston model (at least numerically) and Horvath, Jacquier and Tankov (2020, SIAM JFM) studying how rough volatility models apply to the pricing of volatility options.
In one of his last published papers, Steve Ross tried the impossible to recover the physical distribution of future stock prices from observed option prices, see his 2015 JF publication.
Jackwerth and Menner (2020, JFE) cast doubt whether the recovery theorem is compatible with future realised returns and variances. Peter Carr answers this question here on Quant.SE and gives an online lecture about the topic here.
Fama and French (2015, JFE) add two new factors to their seminal three factors model (namely RMW and CMA, capturing risk associated to profitability and investment). Hou, Xue and Zhang (2015, RFS) provide an alternative four factor model based on $q$-theory.
Barillas and Shanken (2018, JF) and Stambaug and Yuan (2017, RFS) propose alternative factors. Hou, Mo, Xue, Zhang (2017, RF) show that their $q$-theory model seems to dominate others using spanning regressions.
Guyon (2020, Risk) proposes a solution for the joint calibration problem of S&P and VIX options.
Grasselli (2017, MF) presents his 4/2 stochastic volatility model which neatly unifies the Heston model and the 3/2 model.
Zhang (2017, EFM) summarises a large body of research on investment-based asset pricing, culminating in the investment CAPM, which is as simple as the standard (consumption) CAPM yet empirically more successful in explaining the cross-section of stock returns.
Cochrane (2017, RF) gives a recent survey about popular asset pricing models.
RFS editor Itay Goldstein invited leading researchers to share their opinions about which questions will invoke interesting research in asset pricing for the years to come, see the 2021 paper here.
Harvey, Liu and Zhu (2016, RFS) and Hou, Xue and Zhang (2020, RFS) cast doubt over the ever growing ''factor zoo'' in finance by questioning how many ''anomalies'' can robustly be replicated.
J.P. Morgan (2019, SFI) present their extension of Deep hedging using Reinforcement Learning with optimal execution which challenges complete markets and perfect hedging. RL is the new wave in finance industry (trading, execution and portfolio optimisation) and is here to stay, must read
Lognormal vs Normal Volatilities and Sensitivities in Practice: this is the best paper on pricing Rates Options in negative rates environment that I have read recently (disclaimer: I don't read many papers, so when I say the "best I read recently" does not necessarily raise the bar very high :).
It was published in March 2016, so just meets the "last 5 years" criteria.
If anyone has any good recent papers on pricing rates optional products, particularly when it comes to IBOR cessation / SOFR discounting, I would very much be interested: please do post these if you know of any.
Behavioral Finance
I'm cutting it close with McLean and Pontiff (2016, JF) but it's a great read and a personal favorite. Does Academic Research Destroy Stock Return Predictably - funny enough it's gone on to become one of the most cited papers around. I can't wait to check out what's already been shared.
I recommend SSRN, where you can search for most recent papers on topics of interest, or by author. The published papers are not always research per se, but can be interesting nonetheless. Here are a few ways to navigate it: