Breaking the Cycle: How the News and Markets Created a Negative Feedback Loop in COVID-19
New research from CBS Professor Harry Mamaysky reveals how negativity in the news and markets can escalate a financial crisis.
New research from CBS Professor Harry Mamaysky reveals how negativity in the news and markets can escalate a financial crisis.
Adapted from “Global Value Chains in Developing Countries: A Relational Perspective from Coffee and Garments,” by Laura Boudreau of Columbia Business School, Julia Cajal Grossi of the Geneva Graduate Institute, and Rocco Macchiavello of the London School of Economics.
Adapted from “Online Advertising as Passive Search,” by Raluca M. Ursu of New York University Stern School of Business, Andrey Simonov of Columbia Business School, and Eunkyung An of New York University Stern School of Business.
This paper from Columbia Business School, “Meaning of Manual Labor Impedes Consumer Adoption of Autonomous Products,” explores marketing solutions to some consumers’ resistance towards autonomous products. The study was co-authored by Emanuel de Bellis of the University of St. Gallen, Gita Johar of Columbia Business School, and Nicola Poletti of Cada.
Co-authored by John B. Donaldson of Columbia Business School, “The Macroeconomics of Stakeholder Equilibria,” proposes a model for a purely private, mutually beneficial financial agreement between worker and firm that keeps decision-making in the hands of stockholders while improving the employment contract for employees.
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We propose a tractable model of dynamic investment, spinoffs, financing, and risk management for a multi-division firm facing costly external finance. Our analysis formalizes
We propose a theory of banking in which banks cannot perfectly control deposit flows. Facing uninsurable loan and deposit shocks, banks dynamically manage lending, wholesale funding, deposits, and equity. Deposits create value by lowering funding costs. However, when the bank is undercapitalized and at risk of breaching leverage requirements, the marginal value of deposits can turn negative as deposit inflows, by raising leverage, increase the likelihood of costly equity issuance.
There is a consensus that global value chains have aided developing countries' growth. This essay highlights the governance complexities arising from participating in such chains, drawing from lessons we have learned conducting research in the coffee and garment supply chains. Market power of international buyers can lead to inefficiently low wages, prices, quality standards, and poor working conditions. At the same time, some degree of market power might be needed to sustain long-term supply relationships that are beneficial in a world with incomplete contracts.
Banks strategically choose and dynamically restructure deposits and nondeposit debt in response to the minimum requirements on total capital and tangible equity. We derive the optimal strategic liability structure and show that it minimizes the protection for deposits conditional on capital requirements. Although, given any liability structure, regulators can set capital requirements high enough to remove the incentive for risk substitution, the strategic response to the capital requirements always preserves this incentive.
The US entrepreneurial finance market has changed dramatically over the last two decades. Entrepreneurs who raise their first round of venture capital retain 30% more equity in their firm and are more likely to control their board of directors. Late-stage start-ups are raising larger amounts of capital in the private markets from a growing pool of traditional and new investors. These private market changes have coincided with a sharp decline in the number of firms going public—and when firms do go public, they are older and have raised more private capital.
Many organizations rely on formal management control systems that align employee values with organizational values (i.e., culture-fit) to shape organizational culture. Using proprietary data from a highly-decentralized organization, I examine the employee performance consequences of adopting a formal culture-fit measurement system in employee selection. I exploit the staggered feature of the adoption of the system, and find that employees selected with the system perform significantly better than those without the system.
We revisit the firm value and pricing implications of the negative screening of sin stocks. Unlike prior work, we find that institutional ownership and valuations related to sin stocks are not different from those of other stocks after controlling for differences in fundamentals between sin and non-sin stocks. Sin stocks do not differ in the likelihood of exiting the public market, the cost of raising new equity, and in the announcement returns around negative ESG news relative to non-sin stocks, casting further doubt on whether negative screening hurts sin stocks.
We use supervisory loan-level data to document that small firms (SMEs) obtain shorter maturity credit lines than large firms, post more collateral, have higher utilization rates, and pay higher spreads. We rationalize these facts as the equilibrium outcome of a trade-off between lender commitment and discretion. Using the COVID recession, we test the prediction that SMEs are subject to greater lender discretion. Consistent with this hypothesis, SMEs did not draw down whereas large firms did, even in response to similar demand shocks.
We examine the ability of existing and new factor models to explain the comovements of G10-currency changes. Extant currency factors include the carry, volatility, value, and momentum factors. Using a new clustering technique, we find a clear two-block structure in currency comovements with the first block containing mostly the dollar currencies, and the other the European currencies.
We develop a model of information and portfolio choice in which ex ante identical investors choose to specialize because of fixed attention costs required in learning about securities. Without this friction, investors would invest in all securities and would be indifferent across a wide range of information choices. When securities' dividends depend on an aggregate (macro) risk factor and an idiosyncratic (micro) shocks, fixed attention costs lead investors to specialize in either macro or micro information.
We develop a model of information and portfolio choice in which ex ante identical investors choose to specialize because of fixed attention costs required in learning about securities. Without this friction, investors would invest in all securities and would be indifferent across a wide range of information choices. When securities' dividends depend on an aggregate (macro) risk factor and an idiosyncratic (micro) shocks, fixed attention costs lead investors to specialize in either macro or micro information.
This article uses advanced natural language processing (NLP) methods to identify companies that are aligned with the UN Sustainable Development Goals (SDGs) based on the text in their sustainability disclosures. Using the Corporate Social Responsibility (CSR) reports of Russell 1000 companies between 2010–2019, we apply a logistic classifier, support vector machines (SVM), and a fully-connected neural network to predict alignment with the SDGs.
This article empirically examines the magnitude of risk premiums for direct real estate investments on a global basis. As this article analyzes ex-ante risk premiums over more than 25 years consistently across the world, it enhances current knowledge about the regional differences between risk premiums and helps long-term investors with their global portfolio allocation over time. On a global level, the authors find a risk premium of 4.1% for Gordon’s growth and 3.7% for two-stage growth model. The periodic growth model shows a slightly lower risk premium of 3.1%.
This article empirically examines the magnitude of risk premiums for direct real estate investments on a global basis. As this article analyzes ex-ante risk premiums over more than 25 years consistently across the world, it enhances current knowledge about the regional differences between risk premiums and helps long-term investors with their global portfolio allocation over time. On a global level, the authors find a risk premium of 4.1% for Gordon’s growth and 3.7% for two-stage growth model. The periodic growth model shows a slightly lower risk premium of 3.1%.
We follow a representative panel of millions of consumers in the U.S. from 2007 to 2017 and document several facts on the long-term effects of the Great Recession. There were about six million foreclosures in the ten-year period after Lehman's collapse. Owners of multiple homes accounted for 25% of these foreclosures, while comprising only 13% of the market. Foreclosures displaced homeowners, with most of them moving at least once. Only a quarter of foreclosed households regained homeownership, taking an average four years to do so.
We extract aggregate supply and aggregate demand shocks for the US economy from macroeconomic data on inflation, real GDP growth, core inflation and the unemployment gap. We first use unconditional non-Gaussian features in the data to achieve identification of these structural shocks while imposing minimal economic assumptions. We find that recessions in the 1970s and 1980s are better characterized as driven by supply shocks while later recessions were driven primarily by demand shocks. The Great Recession exhibited large negative shocks to both demand and supply.
Turning around distressed operations is an alternative response to underperformance — as contrasted with using transactions such as divestitures or resource redeployment to deal with troublesome assets during corporate renewal. Taking the perspective of private-equity owners whose interests are primarily financial, we explain how their approach to turnarounds of troubled companies may differ from that of managers within publicly traded firms who may envision the realization of longer-term sources of operating synergy among their firms' lines of business.
This paper studies systemic risk in the interbank market. We first establish that in the German interbank lending market, a few large banks intermediate funding flows between many smaller periphery banks. We then develop a network model in which banks trade off the costs and benefits of link formation to explain these patterns. The model is structurally estimated using banks' preferences as revealed by the observed network structure before the 2008 financial crisis.
We study how small and medium enterprise (SME) lenders react to information about their competitors’ contracting decisions. To isolate this learning from lenders’ common reactions to unobserved shocks to fundamentals, we exploit the staggered entry of lenders into an information-sharing platform. Upon entering, lenders adjust their contract terms toward what others offer. This reaction is mediated by the distribution of market shares: lenders with higher shares or that operate in concentrated markets react less.
Global firms finance themselves through foreign subsidiaries, often shell companies in tax havens, which obscures their true economic location in official statistics. We associate the universe of traded securities issued by firms in tax havens with their issuer’s ultimate parent and restate bilateral investment positions to better reflect the financial linkages connecting countries around the world. Bilateral portfolio investment from developed countries to firms in large emerging markets is dramatically larger than previously thought.
We investigate risk and return in the major corporate bond markets of the developed world. We find that average returns increase with maturity and ratings class (where ratings go from high to low) and that this pattern is fit well by a global CAPM model, where the market consists of equity, sovereign and corporate bonds. Nonetheless, we strongly reject "asset class integration," finding a model which separates the market portfolio into its three components to fit much more of the corporate bond return variation.
Shared Appreciation Mortgages (SAMs) feature mortgage payments that adjust with house prices. These mortgage contracts are designed to stave off home owner default by providing payment relief in the wake of a large house price shock. SAMs have been hailed as an innovative solution that could prevent the next foreclosure crisis, act as a work-out tool during a crisis, and alleviate fiscal pressure during a downturn. They have inspired Fintech companies to offer home equity contracts. However, the home owner's gains are the mortgage lender's losses.
In this paper, we examine a novel two-stage mechanism for selling government securities, wherein the dealers underwrite in the first stage the sale of securities, which are auctioned in stage 2 via either a discriminatory auction (DA) or a uniform price auction (UPA).
This paper examines the impact of mandatory reporting and auditing of firms' financial statements on industry-wide resource allocation. Using threshold-induced variation in the share of mandated firms in a given industry, I document that reporting mandates facilitate ownership dispersion in capital markets and spur competition in product markets. I, however, do not find that reporting mandates unambiguously improve the efficiency of industry-wide resource allocation. With respect to auditing mandates, I find only that they impose a fixed cost on firms, deterring smaller entrants.
The use of order flow information by financial firms has come to the forefront of the regulatory debate. A central question is: Should a dealer who acquires information by taking client orders be allowed to use or share that information? We explore how information sharing affects dealers, clients and issuer revenues in U.S. Treasury auctions. Because one cannot observe alternative information regimes, we build a model, calibrate it to auction results data, and use it to quantify counter-factuals. The model's key force is that sharing information reduces uncertainty about future value.
We evaluate the impacts of tax policy on asset returns using the U.S. municipal bond market. In theory, tax-induced ownership segmentation limits risk-sharing, creating downward-sloping regions of the aggregate demand curve for the asset. In the data, cross-state variation in tax privilege policies predicts differences in in-state ownership of local municipal bonds; the policies create incentives for concentrated local ownership. High tax privilege states have muni-bond yields that are more sensitive to variations in supply and local idiosyncratic risk.
We document that governments whose local currency debt provides them with greater hedging benefits actually borrow more in foreign currency. We introduce two features into a government's debt portfolio choice problem to explain this finding: risk-averse lenders and lack of monetary policy commitment. A government without commitment chooses excessively countercyclical inflation ex post, which leads risk-averse lenders to require a risk premium ex ante.
We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of the topic model. We obtain better out-of-sample performance through a random search of plain LDA models. A branching procedure that reinforces effective topic assignments often performs best. We test these methods on an archive of over 90,000 news articles about S&P 500 firms.
We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of the topic model. We obtain better out-of-sample performance through a random search of plain LDA models. A branching procedure that reinforces effective topic assignments often performs best. We test these methods on an archive of over 90,000 news articles about S&P 500 firms.
We analyze methods for selecting topics in news articles to explain stock returns. We find, through empirical and theoretical results, that supervised Latent Dirichlet Allocation (sLDA) implemented through Gibbs sampling in a stochastic EM algorithm will often overfit returns to the detriment of the topic model. We obtain better out-of-sample performance through a random search of plain LDA models. A branching procedure that reinforces effective topic assignments often performs best. We test these methods on an archive of over 90,000 news articles about S&P 500 firms.
Using US Census employer-employee matched data, I show that employer financial distress accelerates the exit of employees to found start-ups. This effect is particularly evident when distressed firms are less able to enforce contracts restricting employee mobility into competing firms. Entrepreneurs exiting financially distressed employers earn higher wages prior to the exit and after founding start-ups, compared to entrepreneurs exiting non-distressed firms. Consistent with distressed firms losing higher-quality workers, their start-ups have higher average employment and payroll growth.
Companies that freeze defined benefit pension plans save the equivalent of 13.5% of the long-horizon payroll of current employees. Furthermore, firms with higher prospective accruals are more likely to freeze their plans. Cost savings would not be possible in a benchmark model in which i) all workers receive compensation equal to their marginal product and ii) workers value equally all identical-cost forms of pension benefits.
"Big data" financial technology raises concerns about market inefficiency. A common concern is that the technology might induce traders to extract others' information, rather than to produce information themselves. We allow agents to choose how much they learn about future asset values or about others' demands, and we explore how improvements in data processing shape these information choices, trading strategies and market outcomes. Our main insight is that unbiased technological change can explain a market-wide shift in data collection and trading strategies.
The Great Recession was a deep downturn with long-lasting effects on credit, employment and output. While narratives about its causes abound, the persistence of GDP below pre-crisis trends remains puzzling. We propose a simple persistence mechanism that can be quantified and combined with existing models. Our key premise is that agents don't know the true distribution of shocks, but use data to estimate it non-parametrically. Then, transitory events, especially extreme ones, generate persistent changes in beliefs and macro outcomes.
We extract aggregate demand and supply shocks for the US economy from real-time survey data on inflation and real GDP growth using a novel identification scheme. Our approach exploits non-Gaussian features of macroeconomic forecast revisions and imposes minimal theoretical assumptions. After verifying that our results for US post-war business cycle fluctuations are largely in line with the prevailing consensus, we proceed to study output and price fluctuations during COVID-19. We attribute two thirds of the decline in 2020:Q1 GDP to a negative shock to aggregate demand.
We distinguish between "good" and "bad" carry trades constructed from G-10 currencies. The good trades exhibit higher Sharpe ratios and sometimes positive return skewness, in contrast to the bad trades that have both substantially lower Sharpe ratios and highly negative return skewness. Surprisingly, good trades do not involve the most typical carry currencies like the Australian dollar and Japanese yen.
This paper shows that when the bankruptcy code protects the creditors' rights with no impairments to secured creditors, issuance of debt such as repo with exemption from automatic stay adds no value. When the bankruptcy process admits violations of absolute priority rules or results in collateral impairments to secured creditors, the liability structure includes short-term debt, with safe harbor protection when the pledged collateral satisfies a minimum liquidity threshold.
We decompose the returns of five well-known anomalies into cash flow and discount rate news. Common patterns emerge across the five factor portfolios and their mean variance efficient (MVE) combination. Whereas discount rate news predominates in market returns, systematic cash flow news drives the returns of anomaly portfolios and their MVE combination with the market portfolio. Anomaly cash flow and discount rate shocks are largely uncorrelated with market cash flow and discount rate shocks and with business cycle fluctuations.
We develop a model of investment timing under uncertainty for a financially constrained firm. Facing external financing costs, the firm prefers to fund its investment through internal funds, so that the firm's optimal investment policy and value depend on both its earnings fundamentals and liquidity holdings. We show that financial constraints significantly alter the standard real options results, with the financial flexibility conferred by internal funds acting as a complement, and at times as a substitute, to the real flexibility given by the optimal timing of investment.
Over the past decade, data has transformed everyday life. While it has changed the way people shop and businesses operate (Goldfarb and Tucker, 2019), it has only just begun to permeate economists thinking about the aggregate economy. In the early twentieth century, economists like Schultz (1943) analyzed agrarian economies and land-use issues. As agricultural productivity improved, production shifted more to manufacturing. Modern macroeconomics adapted with models featuring capital and labor, markets for goods, and equilibrium wages (Solow, 1956).
We find that an increase in the "unusualness" of news with negative sentiment predicts an increase in stock market volatility. Similarly, unusual positive news forecasts lower volatility. Our analysis is based on more than 360,000 articles on 50 large financial companies, published in 1996–2014. Unusualness interacted with sentiment forecasts volatility at both the company-specific and aggregate level. These effects persist for several months. Furthermore, unusual news is reflected in volatility more slowly at the aggregate than at the company-specific level.
We find that an increase in the "unusualness" of news with negative sentiment predicts an increase in stock market volatility. Similarly, unusual positive news forecasts lower volatility. Our analysis is based on more than 360,000 articles on 50 large financial companies, published in 1996–2014. Unusualness interacted with sentiment forecasts volatility at both the company-specific and aggregate level. These effects persist for several months. Furthermore, unusual news is reflected in volatility more slowly at the aggregate than at the company-specific level.
We propose the standard neoclassical model of investment under uncertainty with short-run adjustment frictions as a benchmark for earnings-return patterns absent accounting influences. We show that our proposed benchmark generates a wide range of earnings-return patterns documented in prior accounting research. Notably, our model generates a concave earnings-return relation, similar to that of Basu [1997], and predicts that the earnings-return concavity increases in the volatility of firms' underlying shock processes and decreases in investment levels.
We propose a simple measure of de facto financial market integration based on a factor model of monthly equity returns, which can be computed back to the first era of financial globalization for 17 countries. Global financial market integration follows a "swoosh" shape — i.e. high pre-1913, still higher post-1990, low in the interwar period — rather than the other shapes hypothesized in earlier literature. We find no evidence of financial globalization reversing since the Great Recession as claimed in other recent studies.
Using Census microdata on multi-state firms and their organizational forms, we estimate the impact of state taxes on business activity. For C corporations, employment and the number of establishments have short-run corporate tax elasticities of -0.4 to -0.5, and do not vary with changes in personal tax rates. Pass-through entity activities show tax elasticities of -0.2 to -0.4 with respect to personal tax rates, and are invariant with respect to corporate tax rates. Capital shows similar patterns. Reallocation of productive resources to other states drives around half the effect.
The 30-year U.S. swap spreads have been negative since September 2008. We offer a novel explanation for this persistent anomaly. Through an illustrative model, we show that underfunded pension plans optimally use swaps for duration hedging. Combined with dealer banks' balance sheet constraints, this demand can drive swap spreads to become negative. Empirically, we construct a measure of the aggregate funding status of Defined Benefit pension plans and show that this measure is a significant explanatory variable of 30-year swap spreads.
This appendix provides a contrast to the variance decomposition approach for identifying the two types of news in accounting data. This approach, explained in Callen (2009), assumes the Vuolteenaho (2002) model, implemented in a vector autoregressive (VAR) scheme to capture the linear dependencies among multiple time series of indicator variables.
Shadow bank market share in residential mortgage origination nearly doubled from 2007 to 2015, with particularly dramatic growth among online "fintech" lenders. We study how two forces, regulatory differences and technological advantages, contributed to this growth.
Using the staggered adoption of universal demand (UD) laws in the United States, we study the effect of shareholder litigation risk on corporate disclosure. We find that disclosure significantly increases after UD laws make it more difficult to file derivative lawsuits. Specifically, firms issue more earnings forecasts and voluntary 8-K filings, and increase the length of management discussion and analysis (MD&A) in their 10-K filings. We further assess the direct and indirect channels through which UD laws affect firms' disclosure policies.
We find that voters who associate themselves with the "winning team" in election, i.e., Leave voters in the 2016 UK Brexit vote and Trump voters in 2016 US presidential election, substantially increase their expectations for the stock market, but change their expectations of their household economic wellbeing only modestly. Respondents who associate themselves with the "losing team" are more varied in their responses, but the overall impact of the election outcome on this group is more muted.