Tyler Muir

Tyler Muir
Assistant Professor of Finance, UCLA Anderson School of Management
NBER Faculty Research Fellow

Email: tyler.muir <at> anderson.ucla.edu


Research Papers

    Journal of Finance, December 2014
     - Winner of the 2015 Journal of Finance Amundi Smith Breeden Prize (Distinguished Paper)
     - Data

Financial intermediaries trade frequently in many markets using sophisticated models. Their marginal value of wealth should therefore provide a more informative stochastic discount factor (SDF) than that of a representative consumer. Guided by theory, we use shocks to the leverage of securities broker-dealers to construct an intermediary SDF. Intuitively, deteriorating funding conditions are associated with deleveraging and high marginal value of wealth. Our single-factor model prices size, book-to-market, momentum, and bond portfolios with an R2 of 77% and an average annual pricing error of 1%— performing as well as standard multi-factor benchmarks designed to price these assets.

         - NBER discussion of He, Kelly, Manela (2017), a related follow on to our paper

    Journal of Monetary Economics, December 2016
     - NBER Capital Markets and the Economy (2012), NBER Corporate (2012), UBC Winter Finance (2012)

We use firms' decisions in the cross-section about their sources and uses of funds in order to make inferences about the aggregate cost of external finance. The basic intuition is as follows: Firms which raise costly external finance can invest the issuance proceeds in productive capital assets, or in liquid financial assets with a low physical rate of return. If firms raise costly external finance and allocate some of the funds to liquid assets, either the cost of external finance is relatively low, or the total return to liquidity accumulation, including its value as a hedging asset, is particularly high. We construct and estimate a quantitative, dynamic model of firms' financing and savings decisions. We then use the model's predictions for variation in firm policies and implied cross sectional moments, along with empirical moments from Compustat, to infer the average cost of external finance per dollar raised in the US time series 1980-2010.

    Quarterly Journal of Economics, May 2017

I analyze the behavior of risk premia in financial crises, wars, and recessions in an international panel spanning over 140 years and 14 countries.  I document that risk premia increase substantially in financial crises, but not in the other episodes. However, drops in consumption and consumption volatility are fairly similar across financial crises and recessions and are largest during wars, so standard macro asset pricing models have trouble matching this variation.  Comparing crises to "deep" recessions strengthens these findings further.  I also find the net worth of the financial sector forecasts returns.  The results suggest that the health of the financial sector is important for understanding why risk premia vary.

    Journal of Finance, August 2017
    - Slides
    - Media coverage: Financial TimesCNBC, USA Today

Managed portfolios that take less risk when volatility is high produce large, positive alphas and increase factor Sharpe ratios by substantial amounts. We document this fact for the market, value, momentum, profitability, return on equity, and investment factors in equities, as well as the currency carry trade. Our portfolio timing strategies are simple to implement in real time and are contrary to conventional wisdom because volatility tends to be high after the onset of recessions and crises when selling is typically viewed as a mistake. Instead, our strategy earns high average returns while taking less risk in recessions. We study the portfolio choice implications of these results. We find volatility timing provides large utility gains to a mean variance investor, with increases in lifetime utility ranging from 50-90%. Contrary to conventional wisdom, we show that long horizon investors can benefit from volatility timing even when time-variation in volatility is completely driven by discount rate volatility. 

    Accepted, Journal of Financial Economics

We study the portfolio choice decision of a long-horizon investor when volatility and expected return dynamics are estimated using US data. Investors should reduce exposure when volatility increases, and ignoring variation in volatility leads to large utility losses (on the order of 50% lifetime utility). Volatility timing is more beneficial than expected return timing, particularly when parameter uncertainty is considered. We show that longer-horizon investors should engage in less volatility timing if increases in volatility also increase the amount of mean-reversion in returns. Nevertheless, we provide new empirical evidence that this channel is not strong enough to substantially decrease the gains from volatility timing.

Working Papers:

We study the behavior of credit and output across a financial crisis cycle using information from credit spreads. We show the transition into a crisis occurs with a large increase in credit spreads, indicating that crises involve a dramatic shift in expectations and are a surprise. The severity of the subsequent crisis can be forecast by the size of credit losses (change in spreads) coupled with the fragility of the financial sector (as measured by pre-crisis credit growth). We also find that recessions in the aftermath of financial crises are severe and protracted. Finally, we find that spreads fall pre-crisis and appear too low, even as credit grows ahead of a crisis. This behavior of both prices and quantities suggests that credit supply expansions are a precursor to crises. The 2008 financial crisis cycle is in keeping with these historical patters surrounding financial crises. 

Existing studies find that intermediary balance sheets are strongly correlated with asset returns, but it is still unclear whether or how much fluctuations in intermediaries' health matter for aggregate asset prices rather than simply being correlated with aggregate risk aversion. In this paper we propose a model that incorporates both the possibility that intermediaries matter for asset prices as well as the possibility of a frictionless world in which their balance sheets are just correlated to asset returns. We devise a simple test that helps separate the frictionless view of intermediaries and asset prices from the view that they matter. Specifically, a sufficient condition for intermediaries to matter for asset prices is to document a larger elasticity of the risk premia of intermediated assets to changes in intermediary risk appetite. That is, intermediary health should matter relatively more for assets that households are less willing to hold directly. We provide direct empirical evidence that this is the case and hence argue that intermediaries matter for a number of key asset classes including CDS, commodities, sovereign bonds, and FX. Our findings suggest that a large fraction of risk premia in these asset classes is related to intermediary risk appetite.output across a financial crisis cycle using information from credit spreads. 

    - Media Coverage: Bloomberg

The financial architecture prior to the recent financial crisis was a system of mobile collateral. Safe debt, whether government bonds or privately-produced bonds, i.e., asset-backed securities, could be traded, posted as collateral, and rehypothecated, moving to its highest value use. Since the financial crisis, regulatory changes to the financial architecture have aimed to make collateral immobile, most notably with the BIS "liquidity coverage ratio" for banks. We evaluate this immobile capital system with reference to a previous regime which had this feature: the U.S. National Banking Era. We find evidence that a system of immobile collateral contributes to scarcity of safe debt and encourages other forms of short term debt to emerge, possibly making the system riskier.

Standard factor pricing models do not capture the common time series or cross sectional variation in average returns of financial stocks well. We propose a five factor asset pricing model that complements the standard Fama French 1993 three factor model with a financial sector ROE factor (FROE) and the spread between the financial sector and the market return (SPREAD). This five factor model helps to alleviate the pricing anomalies for financial sector stocks and also performs well for non-financial sector stocks when compared to the Fama French 2014 five factor or the Hou Xue Zhang 2014 four factor models. We find the aggregate expected return to financial sector equities to correlate negatively with aggregate financial sector ROE, which is puzzling, as ROE is commonly used as a measure of the cost of capital in the financial sector.

Subpages (2): Data and Code Fun