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Tobias Adrian, Michael Fleming, Or Shachar, and Erik Vogt
Fifth in a six-part series
Market participants have recently voiced concerns that bond markets seem to become illiquid precisely when they want to sell bonds. Some possible reasons for a decline in corporate bond market liquidity in times of stress include the increasing share of corporate bond ownership by mutual funds and the reduced share of corporate bond ownership by dealers. In this post, we examine the potential effects of outflows from bond mutual funds and the role of dealers’ positioning in corporate bonds.
Tobias Adrian, Michael Fleming, Or Shachar, Daniel Stackman, Erik Vogt
Fourth in a six-part series
Since the financial crisis, major U.S. banking institutions have increased their capital ratios in response to tighter capital requirements. Some market analysts have asserted that the higher capital and liquidity requirements are driving up the costs of market making and reducing market liquidity. If regulations were, in fact, increasing the cost of market making, one would expect to see a rise in the expected returns to that activity. In this post, we estimate market-making returns in equity and corporate bond markets to assess the impact of regulations.
Tobias Adrian, Michael Fleming, Daniel Stackman, and Erik Vogt
Third in a six-part series
Market participants have argued that market liquidity has deteriorated since the financial crisis. However, inspection of common metrics such as bid-ask spreads, market depth, and price impact do not show pronounced reductions in liquidity compared with precrisis levels. In this post, we argue that recent changes in liquidity conditions may best be described in terms of heightened liquidity risk, as opposed to general declines in liquidity levels. We propose a measure that shows liquidity risk has risen in equity and Treasury markets and discuss some factors behind the increase.
Tobias Adrian, Michael Fleming, Or Shachar, Daniel Stackman, and Erik Vogt
Second in a six-part series
Recent commentary suggests concern among market participants about corporate bond market liquidity. However, we showed in our previous post that liquidity in the corporate bond market remains ample. One interpretation is that liquidity risk might have increased, even as the average level of liquidity remains sanguine. In this post, we propose a measure of liquidity risk in the corporate bond market and analyze its evolution over time.
Tobias Adrian, Michael Fleming, Or Shachar, and Erik Vogt
First in a six-part series
Commentators have argued that market liquidity has deteriorated in recent years as regulatory changes have reduced banks’ ability and willingness to make markets. In the corporate debt market, dealer positions, which are considered essential to good liquidity, have indeed declined, even as issuance and outstanding debt have increased. But is there evidence of reduced market liquidity? In previous posts, we discussed these issues in the context of the U.S. Treasury securities market. In this post, we focus on the U.S. corporate bond market, reviewing both price- and quantity-based liquidity measures, including trading volume, trade size, bid-ask spreads, and price impact.
Tobias Adrian, Michael Fleming, and Ernst Schaumburg
Market participants and policymakers have raised concerns about the potential adverse effects of financial regulation on market liquidity—the ability to buy and sell securities quickly, at any time, at minimal cost. Market liquidity supports the efficient allocation of capital through financial markets, which is a catalyst for sustainable economic growth. Changes in market liquidity, whether due to regulation or other forces, are therefore of great interest to policymakers and market participants alike.
Pension funds are expected to behave in a patient, countercyclical manner, making the most of low valuations over the business cycle to achieve high returns. Such behavior provides liquidity and stability to the financial system. However, this belief has come under question. A large theoretical literature has emerged which looks at how short-term considerations affecting these institutional investors might arise from relative performance concerns or from the influence of other incentives introduced by market and regulatory monitoring. Such considerations might incentivize fund managers to mimic others and herd toward common assets. Given the sizable wealth under management by these investors, such herding behavior can potentially have large effects on asset prices both in the short and long run.
The 2012 Nobel Prize in economics was awarded to Alvin E. Roth and Lloyd S. Shapley for their work on matching problems. Two-sided matching problems, like assigning jobs to workers or dorm rooms to students, can be complicated enough. But sometimes the matching problem can be even more difficult. It may be that an item supplied by Alice is useful to Bob, but Bob has nothing of value to give to Alice. If, however, the item supplied by Bob is valuable to Charlie, then there is the potential for a matching chain. Charlie gives something to Alice, Alice gives something to Bob, and Bob gives something to Charlie. Such chains can by themselves be very complicated, and work must be done to identify chains that provide the most benefit. The first Nobel laureate mentioned above has done considerable work designing matching mechanisms used in kidney exchange. But why is all of this necessary? Why isn’t there simply a market with prices?
Tobias Adrian, Richard Crump, Peter Diamond, and Rui Yu
Expectations about the path of interest rates matter for many economic decisions. Three sources for obtaining information about such expectations are available. The first is extrapolation from historical data. The second consists of surveys of expectations. The third are expectations drawn from financial market prices, often referred to as market expectations. The last are usually considered to be model-based expectations, because, generally, a model is needed to reliably extract expectations from current prices. In this post, we explain the need for and usage of term structure models for extracting far in the future interest rate expectations from market rates, which can be used to discount the long run. We will illustrate our arguments by discussing the measurement of long-run discount rates for Social Security.
In a previous post, we discussed bitcoin miners’ incentives to undertake a 51 percent attack given the current condition of the bitcoin market. We also speculated that high profits and free entry would cause more miners to enter the market, driving marginal mining profits to zero in the long run. Since then, the price of a bitcoin has declined over 40 percent and both the hash rate and the difficulty level of the bitcoin mining problem, which adjusts automatically to changes in the hash rate, appear to have leveled off. Our most recent calculations suggest the long run may have arrived.
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