speeches · June 4, 2014
Regional President Speech
John C. Williams · President
Presentation to the Deutsche Bundesbank Conference Housing Markets and the Macroeconomy:
Challenges for Monetary Policy and Financial Stability
Eltville am Rhein, Germany
By John C. Williams, President and CEO, Federal Reserve Bank of San Francisco
For delivery on June 5, 2014
Financial Stability and Monetary Policy: Happy Marriage or Untenable Union?
Thank you. It’s great to be here, both for the scenic setting in the Rheingau and for the
chance to discuss the primary issues facing central bankers with an outstanding group of scholars
and policymakers. Standing here today, I can’t help but think how nice it would be if the San
Francisco Fed had a study center in the Napa Valley. Alas.
Of late, central bankers can’t seem to get enough talk about financial stability and its
connections to monetary policy. At the Federal Reserve, policymakers often point to financial
stability concerns as relevant to their monetary policy decisions, especially in the context of the
current extraordinarily accommodative stance of policy. At the Bank of England, the Monetary
Policy Committee’s statement included an explicit financial stability escape clause for their bank
rate forward guidance.1 The Norges Bank explicitly incorporates financial stability in its
monetary policy discussions and decisions. And the Riksbank’s very public policy deliberations
have centered on the tradeoffs between, and the appropriate balancing of, macroeconomic and
financial stability goals.
In my remarks today, therefore, I will discuss what I view as the key issues regarding the
appropriate role of monetary policy in supporting financial stability. I’ll also highlight some
specific directions in which further progress is badly needed. As ever, the views represented are
my own and do not necessarily reflect those of anyone else in the Federal Reserve System.
1 See Bank of England (2013).
1
Before I proceed, I should make clear what I mean by financial stability. Given that I’m
in Germany, I’ll quote the European Central Bank’s definition: “as a condition in which the
financial system—comprising of financial intermediaries, markets and market infrastructures—is
capable of withstanding shocks, thereby reducing the likelihood of disruptions in the financial
intermediation process which are severe enough to significantly impair the allocation of savings
to profitable investment opportunities.”2 In retrospect, the global financial system clearly did not
meet this definition of financial stability when confronted by the Lehman shock and subsequent
events of late 2008.
The heightened attention to the connections between monetary policy and financial
stability represents a sea change from the consensus that was reached in the years preceding the
global financial crisis. Back then, central bankers were nearly unanimous in their undying faith
and fealty to a variant of inflation targeting, whereby monetary policy should be single-mindedly
focused on price stability (and, usually more quietly, macroeconomic stabilization). Financial
stability was generally viewed as a potentially dangerous distraction, risking the central bank’s
attention to, and credibility in, achieving its price-stability mandate. Indeed, this approach was
codified in numerous central bank charters, which in some cases dictated consequences if the
inflation goal was not met. Even at the Federal Reserve, where inflation targeting was never
formally adopted, financial stability was rarely discussed at monetary policy meetings during the
run-up to the financial crisis.3
Instead, policymakers and the segment of the economics profession interested in central
banking focused on the task of attaining and preserving price and economic stability. An
2 This is taken from the European Central Bank website: http://www.ecb.europa.eu/pub/fsr/html/index.en.html
3 See Fligstein et al. (2014) for a textual analysis of Federal Open Market Committee transcripts in the years before
the global financial crisis.
2
enormous effort went into theoretical and empirical research on best practice monetary policy
strategies within this general framework. This research was completely abstracted from any
concerns related to financial stability.
The elevation of financial stability concerns at central banks and other regulatory
agencies is a natural reaction to the events of the global financial crisis, when the near-meltdown
of the financial systems in many countries almost toppled the global economy. Even with the
dramatic—and in many cases, unprecedented—actions of governments and central banks, the
fallout from the financial crisis has been greater and longer-lasting than had been experienced in
generations. Indeed, this renewed concern for financial stability represents more a return to the
roots of central banking than new-age thinking. After all, the Federal Reserve was created from
the ashes of the panics and resulting depressions that tormented the U.S. economy in the late 19th
and early 20th centuries.
The renewed recognition of the importance of preserving financial stability is entirely
appropriate and perhaps long overdue. However, the current discussion of the relationship
between financial stability and monetary policy has mostly lacked rigorous theoretical and
empirical analysis. Unlike the extensive literature on monetary policy rules and optimal
monetary policy, our understanding of the interactions and tradeoffs between monetary policy
and risks to financial stability remains limited and, to put it bluntly, unsatisfactory, given what’s
at stake. We all talk about the need to account for financial stability in thinking about monetary
policy, but, to borrow a phrase from American TV lore: “Where’s the beef?”
I see three key issues around the role of monetary policy in financial stability. The first
is: What are the costs of using monetary policy actions to address perceived or potential risks to
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financial stability? The second is: How do monetary policy actions affect financial stability
risks? And, third: Can monetary policy be designed to improve these tradeoffs?
Tradeoffs between macroeconomic and financial stability goals
I’ll start with the question of the costs of using monetary policy to address financial
stability risks. Perhaps this issue is best illustrated by the ongoing debates at the Riksbank
regarding the appropriate course for monetary policy. In using this example, I am in no way
judging the decisions that have been made; rather I am using it as a timely real-world illustration
of this issue. As background, Sweden’s economy has experienced inflation persistently below
target, accompanied by extremely high and growing household debt. In a nutshell, the Sveriges
Riksbank has undertaken a somewhat tighter stance of monetary policy than it would were it
based purely on macroeconomic conditions. This has resulted in a more gradual return to
inflation and unemployment goals, in order to reduce potential risks to financial stability
stemming from Sweden’s very high level of household debt.4
This situation is not unique: Financial stability considerations have played out in Norway
as well. In its latest Monetary Policy Report, the Norges Bank frames its policy decision as
follows: “Both the objective of keeping consumer price inflation close to 2.5% and the objective
of sustaining capacity utilization in the years ahead could in isolation imply a somewhat lower
key policy rate forecast… On the other hand, a lower key policy rate may increase the risk of a
further buildup of financial imbalances.”5
These decisions have clear and important costs in terms of achieving unemployment and
inflation goals. For example, Lars Svensson (2013, and references therein) uses model
4 See Sveriges Riksbank (2014, p. 17) for a recent description of these considerations.
5 Norges Bank, (2014, p. 16).
4
simulations to show that the monetary policy actions of the Riksbank, based on a concern for
financial stability, have induced a significantly higher rate of unemployment and a sustained
shortfall of inflation relative to its target. He goes on to argue that the policy, by reducing
income, has actually increased the already high household debt-to-income ratio, potentially
exacerbating financial stability risks.6
Preserving the nominal anchor
Turning to the risks: The costs of modifying the stance of monetary policy in deference to
financial stability considerations may be even greater than those implied by cyclical deviations
of inflation and economic activity from desired levels. If the central bank actions aimed at
addressing financial stability risks are large and persistent, the inflation rate will likely deviate
from target for many years. The protracted failure to deliver on the inflation objective could
undermine the credibility of the central bank’s commitment to its inflation target and unmoor
inflation expectations (Levin 2014).
Particularly worrisome are the incipient signs that inflation expectations are slipping in
countries that have emphasized financial stability in monetary policy deliberations. Figure 1
shows survey data on longer-run measures of inflation expectations for the United States, the
euro area, Norway, and Sweden.7 Longer-run inflation expectations have remained very stable
in the United States and euro area, despite the tumult of the global financial and Euro crises and
the subsequent aggressive monetary policy undertaken by the Federal Reserve and the ECB. In
contrast, Norway and Sweden have seen some slippage in long-run inflation expectations below
6 It is not clear how much the concern for financial stability affects Norges Bank decisions. They combine concerns
for financial stability and for robustness to uncertainty together in describing the deviation from a policy path
devoted purely to price stability and capacity utilization goals (Norges Bank, 2014, pp. 20-21).
7 This chart is based on that in Levin (2014).
5
target levels over the past year or so, based on this survey.8 This follows a long period of
realized inflation averaging below-target levels and central bank communication that financial
stability concerns have been affecting policy decisions.
Although this evidence is far from dispositive, it is an apt reminder of the potential long-
run costs of losing sight of the price stability mandate. The steadfastness of the nominal anchor
in most advanced economies was a key factor in central banks’ ability to keep inflation low and
stable during and after the global financial crisis. It was forged over many years of consistent
commitment to price stability and successfully fighting the inflation dragon. If the anchor were
to slip, it would wreak lasting damage to a central bank’s control over both inflation and
economic activity, at considerable cost to the economy. This applies equally to deviations above
and below the target.
Although the costs of using monetary policy to address financial stability risks are clear
and potentially sizable, the benefits are much harder to pin down. In part this is due to the
challenge inherent in analyzing and measuring tail risks. But, importantly, it also reflects the
shortcomings of standard macroeconomic models that entirely abstract from risks to financial
stability and are therefore silent on how monetary policy may affect these risks.
Most standard macro models, such as DSGE models, generally used for monetary policy
analysis simply lack the channels by which interest rates could potentially create risks to the
financial system and thereby ultimately to the economy.9 The consensus framework is built on a
foundation of optimizing agents, rational expectations, and frictionless financial markets. This
8 I should note that other surveys show smaller downward movements in long-run inflation expectations. See
Norges Bank (2014) and Sveriges Riksbank (2014).
9 This is not to say that there are no models that make these connections. See, for example, Adrian and Shin (2008)
and references therein. However, these channels have yet to be adopted more broadly in analysis of monetary
policy.
6
approach assumes that asset markets clear through arbitrage-free relationships. Deviations from
fundamentals are either assumed away or buried in exogenous risk premia. Such a framework
severely limits one’s ability to think deeply about how monetary policy actions could affect risks
to financial stability.
I recognize that this situation is changing, with new theories and approaches being
developed as I speak, and I find this encouraging. Indeed, the papers at this conference represent
important strides in developing theories that can help illuminate the interactions of monetary
policy and financial stability. But much, much more needs to be done.
Behavioral economics and asset prices
Let me highlight one issue that I see as particularly important in thinking about how
monetary policy may affect risks to financial stability: the modeling of asset prices. Standard
asset price theory tells us that an increase in asset prices must reflect either an increase in
expected future dividends or a reduction in the expected return on the asset. But the evidence is
at odds with this prediction. Elevated levels of equity and house prices are not typically
associated with higher future dividend growth rates or lower expected returns, based on
surveys.10 Something else is going on.
One way to decipher this breakdown in the standard model is to relax the assumption of
rational expectations and allow people’s decisions to be driven by their perceptions of what the
future may hold, whether grounded in reality or not. In particular, the empirical evidence
indicates that people tend to extrapolate future stock price movements from recent stock price
performance (Greenwood and Shleifer 2013, Williams 2013). Figure 2 plots the degree of
10 See Williams (2013) for further discussion and references to the literature.
7
investor optimism about future stock market gains from a Gallup survey against the trailing 12-
month change in the Standard & Poor’s 500 stock price index. The correlation is highly positive.
In fact, the worst reading for the investor optimism index for the period shown in the figure
occurred in early 2009, just as the stock market plunged to its recession low and was on the
verge of a remarkable rebound. The highest reading of investor optimism occurred in early 2000
following the dot-com boom, on the cusp of the crash.
The same type of extrapolative expectations plays out in housing markets in the United
States and abroad. When house prices go up, people expect them to continue to rise. And when
they fall, people turn much more pessimistic about future appreciation. Figure 3 plots surveys of
expected house price appreciation over the next year against the percentage change in prices
observed during the prior year for four major U.S. cities over the past decade. Similar patterns
for house price expectations are seen in Norway and Sweden, two other countries that have gone
through huge house price booms (Jurgilas and Lansing 2013).
One way to make sense of these patterns in asset prices is to abandon the assumption of
full information assumed in the standard asset price model with rational expectations. Instead,
investors make do with the limited information at hand when judging likely future discounted
dividend payments and the future price of the asset. A growing body of evidence in behavioral
economics and finance shows that people’s expectations of future asset returns depend on their
past experiences (Vissing-Jorgensen 2003 and Malmendier and Nagel 2011). In fact, a simple
model of extrapolative expectations of future asset price movements does a very good job of
explaining the big swings in the U.S. stock price-to-dividend ratio over time (Adam, Beutel, and
Marcet 2013).
8
Why does this pattern of behavior matter for thinking about monetary policy and
financial stability? The recognition that people behave in this way can move us a long way
closer to understanding how asset price booms and busts can emerge and how policy actions
could influence that process. Let me give a concrete example. Low interest rates boost
fundamental valuation of assets. In a world of rational expectations, asset prices adjust and
that’s it. But, if one allows for limited information, the resulting bull market may cause investors
to get “carried away” over time and confuse what is a one-time, perhaps transitory, shift in
fundamentals for a new paradigm of rising asset prices. This is the type of dynamic Robert
Shiller (2005) found common to numerous booms throughout history. Such a process can also
help us understand why households and financial institutions take on greater risks during asset
booms, as they too fall into the trap of excessively optimistic expectations about the future
(Williams 2011). More generally, it provides an opening to understand how risks to the financial
system can grow, even when economic agents act optimally given the information they have.
Monetary policy frameworks in support financial stability
The discussion of the very real and sizable costs of using monetary policy to deal with
risks to financial stability—along with the uncertain benefits of doing so—argues for finding
alternative tools that engender more favorable tradeoffs. It has become a mantra in central
banking to declare that robust micro- and macro-prudential regulatory and supervisory policies
should provide the first and second lines of defense for financial stability. And that monetary
policy actions should only be a last resort. I agree with this conclusion.
However, this framing of the question is overly limited when it comes to thinking about
how monetary policy can support financial stability. It is too steeped in the mechanism of
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response to asset bubbles or looming risks. One of monetary policy’s most important lessons—
borne out in both theory and practice—is that the framework for policy is more important than
the details of the execution. In terms of price and economic stability, anchoring inflation
expectations and responding in a systematic way to economic developments are by far the most
important elements of good monetary policy.
Instead of thinking about how monetary policy should respond to risks to financial
stability, we should focus on studying ways to design policy frameworks that support financial
stability with only a modest cost to macroeconomic goals and anchoring inflation expectations.
Two recent proposals illustrate this type of thinking. The first is moving from inflation targeting
to nominal income targeting. The second is conducting monetary policy in a way that reduces
the creation of private-sector money-like assets. I am not personally advocating either of these
proposals, but I do view them as creative ways to think of how to bend the curve in terms of
macroeconomic and financial stability tradeoffs.
The idea that nominal income targeting could be supportive of financial stability is
relatively straightforward (Koenig 2013, Sheedy 2014). Debt contracts are typically written in
nominal terms, so the ability to repay depends on one’s nominal income. If the central bank acts
to keep nominal income on a steady growth path, then—at least on the aggregate—people will be
able to continue to repay their loans and the deadweight losses and disruptive effects associated
with foreclosure and bankruptcy can be avoided. Moreover, the nominal income targeting
framework has favorable characteristics in the presence of the zero lower bound. That said,
nominal income targeting does allow for persistent deviations of inflation from target, which
may undermine the anchoring of expectations. These are the types of tradeoffs that require
further study and analysis.
10
The second proposal that has gained attention is the idea that a central bank with the
ability to pay interest on bank reserves can independently use the quantity of bank reserves to
affect the stability of the financial system (Stein 2012, Kashyap and Stein 2012 Cochrane 2014).
Note that this does not cause a tradeoff in terms of price and economic stabilization goals
because the central bank retains the ability to set the short-term interest rate. The basic idea is
that in today’s economy, the concept of money extends beyond traditional definitions and
includes short-term fixed-income securities. In these models, a central bank’s provision of
interest-bearing short-term accounts to a broad set of intermediaries extending beyond depository
institutions reduces the incentive of the private sector to create excessive short-term debt that
contributes to financial instability. Again, this is an intriguing idea that calls for further study of
its benefits and possible unintended consequences.
To sum up, we are all aware of the importance of having a robust, resilient financial
system. Recent events have made that all too clear. The challenge for economists and
policymakers is to better understand the sources of these risks and the tools that can be devised
to reduce them, without undermining the hard-fought achievement of price stability and well-
anchored inflation expectations. Thank you.
11
Figure 1
Long-run Inflation Expectations in Four Countries
Note: Each panel depicts the central bank’s inflation target with a dashed black line and the evolution of inflation expectations with
a solid blue line. Inflation expectations for non-U.S. countries is defined as the average of the last two semiannual Consensus
Forecast surveys of CPI inflation projections 6 to 10 years ahead. Inflation expectations for the United States for 2007 and after is
the 4 quarter average of the 10-year PCEPI inflation forecast from the quarterly Survey of Professional Forecasters (SPF) and an
adjusted 10-year CPI inflation forecast from the SPF prior to 2007.
Figure 2
Extrapolative Expectations in the Stock Market
% Optimistic -% Pessimistic
80
Fitted line 60
40
20
0
-20
-40
-60
-60 -40 -20 0 20 40 60
Trailing 12-month change in S&P500 (percent)
Sources: Greenwoodand Shleifer (2013), Wells Fargo/Gallup, and S&P 500 data from Shiller (2005, updated).Data from 1996 to 2013.
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Figure 3
Extrapolative Expectations in the Housing Market
Expected 1-year house price change (percent)
14
12
Fitted line
10
8
6
4
2
0
-2
-4
-30 -20 -10 0 10 20 30 40
Trailing 12-month change in house price indexes (percent)
Sources: S&P/Case-Shiller,FHFA, and Case, Shiller,and Thompson (2012).Citiesincluded are San Francisco/Alameda
County, Boston, Los Angeles/Orange County, and Milwaukee. Data from 2003 to 2012.
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Gains.” Unpublished manuscript, University of Mannheim.
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Cite this document
APA
John C. Williams (2014, June 4). Regional President Speech. Speeches, Federal Reserve. https://whenthefedspeaks.com/doc/regional_speeche_20140605_john_c_williams
BibTeX
@misc{wtfs_regional_speeche_20140605_john_c_williams,
author = {John C. Williams},
title = {Regional President Speech},
year = {2014},
month = {Jun},
howpublished = {Speeches, Federal Reserve},
url = {https://whenthefedspeaks.com/doc/regional_speeche_20140605_john_c_williams},
note = {Retrieved via When the Fed Speaks corpus}
}