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I propose a novel method to identify and estimate the macroeconomic effects of forward guidance and large-scale asset purchases (LSAP) for each FOMC announcement. I find that LSAP is more important than forward guidance in influencing output and inflation. LSAP puts upward pressure on short-term yields, so it should always be used in conjunction with forward guidance.

This paper presents a dynamic general equilibrium model where asymmetric information about asset quality leads to asset illiquidity. Banking arises endogenously in this environment as banks can pool illiquid assets to average out their idiosyncratic qualities and issue liquid liabilities backed by pooled assets whose total quality is public information.

We develop a closed economy model to study the interactions among sovereign risk premia, fiscal limits, and fiscal policy. The stochastic fiscal limits, which measure the ability and willingness of the government to service its debt, arise endogenously from a dynamic Laffer curve.

The authors estimate a small monthly macroeconometric model (BEAM, for bonds, equity, and money) of the Canadian economy built around three cointegrating relationships linking financial and real variables over the 1975–2002 period.

We investigate the macroeconomic impacts of mothballed businesses—those that closed temporarily—on sectoral equilibrium prices after a negative demand shock. Our results suggest that pandemic fiscal support for temporary closures may have eased inflationary pressures.

We quantify the effects of large-scale stock purchases by a central bank and compare these to bond purchases. We find that the central bank’s equity purchases would lower the risk and term premiums on stocks and long-term bonds, respectively, and thereby stimulate economic activity.

Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.

In the months preceding the failure of Lehman Brothers in September 2008, banks were willing to pay a premium over the Federal Reserve’s discount window (DW) rate to participate in the much less flexible Term Auction Facility (TAF). We empirically test the predictions of a new signalling model that offers a rationale for offering two different liquidity facilities.

We provide empirical evidence of effects to the aggregate economy from surprises about financial intermediaries’ net worth based on a high-frequency identification strategy. We estimate that news of a 1% decline in intermediaries’ net worth leads to a 0.2%–0.4% decrease in the market value of nonfinancial firms.

In this piece we show that a limit on the level of asset encumbrance and minimum capital requirements are effective tools for minimizing the incentive for banks to take excessive risk.