Search

In statistics, samples are drawn from a population in a data- generating process (DGP). Standard errors measure the uncer- tainty in sample estimates of population parameters. In sci- ence, evidence is generated to test hypotheses in an evidence- generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sam- ple. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.

We consider a noisy rational expectations equilibrium in a multi-asset economy populated by informed and uninformed investors, and noise traders. We relax the usual assumption of normally distributed asset payoffs and allow for assets with very general payoff distributions, including non-redundant contingent claims, such as options and other derivatives. We provide necessary and sufficient conditions under which contingent claims provide information about the source of uncertainty in the economy and, hence, reduce the asymmetry of information. We show that introducing a volatility derivative makes incomplete-market economies effectively complete. We also apply our results to pricing risky debt and equity and demonstrate that firms cannot manipulate the information contained in debt and equity prices by changing the face value of debt. Our paper provides a new tractable framework for studying asset prices under asymmetric information. When the market is complete, we derive the equilibrium in closed form. When the market is incomplete, we derive it in terms of easily computable inverse functions.

The level of diseconomies of scale in asset management has important implications for tests of manager skill and the expected level of performance persistence. To identify the causal impact of fund size on future returns, we exploit the fact that small differences in returns can cause discrete changes in Morningstar ratings that, in turn, generate discrete differences in fund size. Using our regression discontinuity approach, we find that ratings significantly increase fund size, but that fund size has a negligible effect on fund returns. Within Berk and Green’s (2004) model, the absence of meaningful fund-level diseconomies of scale implies that the lack of performance persistence arises from a lack of fund manager skill. Alternatively, the lack of performance persistence may arise from competitive pressures outside of their model.

We study three generic clearing arrangements in the presence of two‐sided limited commitment: simple bilateral clearing, segregated collateral clearing through a third party, and—most sophisticated—central counterparty (CCP) clearing. Clearing secures the settlement of obligations from over‐the‐counter forward contracts that smooth the income of risk‐averse traders. Clearing requires collateral to guarantee settlement; this is costly, as it reduces income from investment. More sophisticated clearing arrangements require more collateral. As a result, the welfare gains of CCP clearing may be mostly due to segregation, while mutualization of losses could contribute little to welfare.

Housing market transactions are a matter of public record and thus provide a rare opportunity to analyze the behavior, performance, and strategies of individual investors. Using data for all housing transactions in the Los Angeles area from 1988-2009, this paper provides empirical evidence on investor behavior that is consistent with several rationales for speculative investment in the finance literature, including the roles of middlemen and naïve speculators. Speculative activity by novice investors increased sharply in the recent housing boom. These investors earned little more than the market rate of appreciation and demonstrated no ability to foresee market price movements.

We provide the first comprehensive analysis of option information for pricing the cross-section of stock returns by jointly examining extensive sets of firm and option characteristics. Using portfolio sorts and high-dimensional methods, we show that certain option measures have significant predictive power, even after controlling for firm characteristics, earning a Fama-French three-factor alpha in excess of 20% per annum. Our analysis further reveals that the strongest option characteristics are associated with information about asset mispricing and future tail return realizations. Our findings are consistent with models of informed trading and limits to arbitrage.

This paper proposes a new test for simultaneous intraday jumps in a panel of high frequency financial data. We utilize intraday first-high-low-last values of asset prices to construct estimates for the cross-variation of returns in a large panel of high frequency financial data, and then employ these estimates to provide a first-high-low-last price based test statistic to detect common large discrete movements (co-jumps). We study the finite sample behavior of our first-high-low-last price based test using Monte Carlo simulation, and find that it is more powerful than the Bollerslev et al (2008) return-based co-jump test. When applied to a panel of high frequency data from the Chinese mainland stock market, our first-high-low-last price based test identifies more common jumps than the return-based test in this emerging market.

Cryptocurrencies provide a unique opportunity to identify how derivatives impact spot markets. They are fully fungible, trade across multiple spot exchanges at different prices, and futures contracts were selectively introduced on bitcoin (BTC) exchange rates against the USD in December 2017. Following the futures introduction, we find a significantly greater increase in cross-exchange price synchronicity for BTC--USD relative to other exchange rate pairs, as demonstrated by an increase in price correlations and a reduction in arbitrage opportunities and volatility. We also find support for an increase in price efficiency, market quality, and liquidity. The evidence suggests that futures contracts allowed investors to circumvent trading frictions associated with short sale constraints, arbitrage risk associated with block confirmation time, and market segmentation. Overall, our analysis supports the view that the introduction of BTC--USD futures was beneficial to the bitcoin spot market by making the underlying prices more informative.

Using a sample of 384 shareholder meetings, we investigate whether shareholder votes on mergers and acquisitions in both target and acquirer firms relate to the announcement day abnormal returns and whether the voting outcome has implications for the short- and long-run merger performance. We find that shareholder voting dissent is negatively related to both abnormal returns upon merger announcement and recommendations by Institutional Shareholder Services (ISS). The former relationship is stronger for target firms and only borderline significant for acquirer firms. Overall, shareholders seem to take both advisor opinions and market beliefs into account when taking their voting decision. We also find that cumulative abnormal returns on the meeting date are strongly positively related to voting dissent. The observed relationship holds only for mergers with a long negotiation period suggesting that in these mergers a higher fraction of residual uncertainty is re-solved upon a “pass” vote. Furthermore, we find that voting dissent is negatively related to long-run abnormal merger performance suggesting a predictive power of merger votes.

Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private households are contrarians. Contrarian trading by private households declines with investors' financial sophistication though, as proxied by financial wealth and equity home bias. Observing momentum trading over time, we document substantial increase in sales of loser stocks by foreign and institutional investors during the market downturn of the Great Recession and just before the crash of the momentum strategy in 2009. Finally, our evidence indicates that excessive sales of loser stocks pushed prices below their fundamental value, predicting the relative overperformance of past losers and the reversal of the momentum strategy.

We examine stock index and Treasury futures markets around releases of U.S. macroeconomic announcements. Seven out of 21 market-moving announcements show evidence of substantial informed trading before the official release time. Prices begin to move in the “correct” direction about 30 minutes before the release time. The pre-announcement price drift accounts on average for about half of the total price adjustment. These results imply that some traders have private information about macroeconomic fundamentals. The evidence suggests that the pre-announcement drift likely comes from a combination of information leakage and superior forecasting based on proprietary data collection and reprocessing of public information.

We aim to make two contributions to the literature on the effects of transaction costs on financial price volatility. First, by using a research design with three ingredients (a common set of companies simultaneously listed on two stock exchanges; binding capital controls; different timing of changes in transaction costs), we obtain a control group that has identical corporate fundamentals as the treatment group and is therefore far cleaner than any in the existing literature. We apply the research design to Chinese stocks that are cross-listed in Hong Kong and Mainland. Second, we entertain the possibility that a given transaction cost can have different effects in immature and mature markets. In an immature market where trading is dominated by retail investors with little knowledge of accounting and finance, a Tobin tax should have the best chance of generating its intended effect. In a more mature market, higher transaction costs may also discourage sophisticated investors, hence impeding timely incorporation of fundamental information into prices. We find a significantly negative relation in the Chinese market, on average, between stamp duty increase and price volatility. However, this average effect masks some important heterogeneity. In particular, when institutional investors have become a significant part of traders' pool, we find an opposite effect. This suggests that a Tobin tax may work in an immature market but can backfire in a more developed market.

We define a sentiment indicator that exploits two contrasting views of return predictability, and study its properties. The indicator, which is based on option prices, valuation ratios and interest rates, was unusually high during the late 1990s, reflecting dividend growth expectations that in our view were unreasonably optimistic. We interpret it as helping to reveal irrational beliefs about fundamentals. We show that our measure is a leading indicator of detrended volume, and of various other measures associated with financial fragility. We also make two methodological contributions. First, we derive a new valuation-ratio decomposition that is related to the Campbell and Shiller (1988) loglinearization, but which resembles the traditional Gordon growth model more closely and has certain other advantages for our purposes. Second, we introduce a volatility index that provides a lower bound on the market's expected log return.

Using the pandemic as a laboratory, we show that asset markets assign a time- varying price to firms' disaster risk exposure. In 2020 the cross-section of realized and expected stock returns reflected firms' different exposure to the pandemic, as measured by their vulnerability to social distancing. Realized and expected return differentials initially widened and then narrowed, but disaster exposure still commanded a risk premium in December 2020. When inferred from market outcomes, resilience correlates not only with social distancing, but also with cash and environmental ratings. However, vulnerability to social distancing is the only characteristic that identifies persistently scarred firms.

Retail investors pay over twice as much attention to local companies than non-local ones, based on Google searches. News volume and volatility amplify this attention gap. Attention appears causally related to perceived proximity: first, acquisition by a nonlocal company is associated with less attention by locals, and more by nonlocals close to the acquirer; second, COVID-19 travel restrictions correlate with a drop in relative attention to nonlocal companies, especially in locations with fewer flights after the outbreak. Finally, local attention predicts volatility, bid-ask spreads and nonlocal attention, not viceversa. These findings are consistent with local investors having an information-processing advantage.

We consider whether traders are more likely to commit securities violations when trading at home, a new form of working induced by the Covid pandemic. We examine data pre- and post-Covid, during which some traders were unexpectedly forced to work at home. The data indicate the presence of both a treatment and a selection effect, where work at home exhibits fewer misconduct cases. Work at home is associated with fewer cases of trading misconduct, although no difference in communications misconduct. The economic significance of working from home on trading misconduct is large for both the treatment and selection effects.

Using new transaction-level data for non-financial commercial paper (CP) in the U.S., we show that companies systematically reduce their outstanding short-term debt on quarterly and annual disclosure dates. Constraints on CP lending supply cannot explain this pattern. Instead, companies optimize their disclosed liquidity buffers and strategically repay CP debt if doing so strengthens common accounting ratios, such as the current ratio. Unlike other CP issuers, firms that repay their CP debt neither hold lower cash buffers nor use CP as bridge financing, suggesting an alternative role of CP debt as "hidden liquidity buffer".

We focus on the role of social media as a high-frequency, unfiltered mass information transmission channel and how its use for government communication affects the aggregate stock markets. To measure this effect, we concentrate on one of the most prominent Twitter users, the 45th President of the United States, Donald J. Trump. We analyze around 1,400 of his tweets related to the US economy and classify them by topic and textual sentiment using machine learning algorithms. We investigate whether the tweets contain relevant information for financial markets, i.e. whether they affect market returns, volatility, and trading volumes. Using high-frequency data, we find that Trump’s tweets are most often a reaction to pre-existing market trends and therefore do not provide material new information that would influence prices or trading. We show that past market information can help predict Trump’s decision to tweet about the economy.

As part of the Next Generation EU (NGEU) program, the European Commission has pledged to issue up to EUR 250 billion of the NGEU bonds as green bonds, in order to confirm their commitment to sustainable finance and to support the transition towards a greener Europe. Thereby, the EU is not only entering the green bond market, but also set to become one of the biggest green bond issuers. Consequently, financial market participants are eager to know what to expect from the EU as a new green bond issuer and whether a negative green bond premium, a so-called Greenium, can be expected for the NGEU green bonds. This research paper formulates an expectation in regards to a potential Greenium for the NGEU green bonds, by conducting an interview with 15 sustainable finance experts and analyzing the public green bond market from September 2014 until June 2021, with respect to a potential green bond premium and its underlying drivers. The regression results confirm the existence of a significant Greenium (-0.7 bps) in the public green bond market and that the Greenium increases for supranational issuers with AAA rating, such as the EU. Moreover, the green bond premium is influenced by issuer sector and credit rating, but issue size and modified duration have no significant effect. Overall, the evaluated expert interviews and regression analysis lead to an expected Greenium for the NGEU green bonds of up to -4 bps, with the potential to further increase in the secondary market.

We study the implications of conformism among analysts in a CARA Gaussian model of the market for a risky asset, where a trader's in- formation is a message sent by an analyst. Conformism increases the weight of the public information in the messages, decreasing their in- formativeness. More precise public information does not always result in more precise messages. A larger precision of the analysts informa- tion does not always make the market more liquid and the price more informative. Conformism creates an overreaction of the price to pub- lic information. Using the price as a public signal does not alter the results.

This paper studies discrimination in financial markets in the context of the “Dreyfus Affair” in 19th century France. We analyze the market performance of firms with Jewish board members during this historical episode. Building on empirical evidence and a model with antisemitic and unbiased agents, we show how investors betting on firms with Jewish connections earned higher returns during the media campaign organized to rehabilitate Dreyfus, the unfairly accused Jewish officer at the center of the Affair. Our paper provides novel evidence that discrimination can affect stock prices and create rents for some market participants. While these rents may attract betting against discriminators, the uncertainty surrounding discriminatory beliefs can limit the extent of arbitrage and allow discrimination to survive in the long run.

This paper explores limit order book resiliency following liquidity shocks in the presence of high-frequency traders. Based on a unique data set that enables the identification of orders submitted by algorithms and subscribers of co-location services, we study whether high-frequency traders are involved in the replenishment of the order book. We analyze order submission and deletion activity before and after liquidity shocks initiated by large market orders. Our results show that exclusively high-frequency traders reduce the spread within the first seconds after the liquidity shock making use of their speed advantage. However, liquidity recovery in terms of order book depth takes significantly longer and is accomplished by human traders' submission activity only.

Using only daily data on bond and stock returns, we identify and characterize flight to safety (FTS) episodes for 23 countries. On average, FTS days comprise less than 3% of the sample, and bond returns exceed equity returns by 2.5 to 4%. The majority of FTS events are country-specific not global. FTS episodes coincide with increases in the VIX and the Ted spread, decreases in consumer sentiment indicators and appreciations of the Yen, Swiss franc, and US dollar. The financial, basic materials and industrial industries under-perform in FTS episodes, but the telecom industry outperforms. Money market instruments, corporate bonds, and commodity prices (with the exception of metals, including gold) face abnormal negative returns in FTS episodes. Hedge funds, especially those belonging to the event-driven styles, display negative FTS betas, after controlling for standard risk factors. Liquidity deteriorates on FTS days both in the bond and equity markets. Both economic growth and inflation decline right after and up to a year following a FTS spell.

We show that High Frequency Traders (HFTs) are not beneficial to the stock market during flash crashes. They actually consume liquidity when it is most needed, even when they are rewarded by the exchange to provide immediacy. The behavior of HFTs exacerbate the transient price impact, unrelated to fundamentals, typically observed during a flash crash. Slow traders provide liquidity instead of HFTs, taking advantage of the discounted price. We thus uncover a trade-o↵ between the greater liquidity and efficiency provided by HFTs in normal times, and the disruptive consequences of their trading activity during distressed times.

We study how the Eurosystem Collateral Framework for corporate bonds helps the European Central Bank (ECB) fulfill its policy mandate. Using the ECBs eligibility list, we identify the first inclusion date of both bonds and issuers. We find that due to the increased supply and demand for pledgeable collateral following eligibility, (i) securities lending market trading activity increases, (ii) eligible bonds have lower yields, and (iii) the liquidity of newly-issued bonds declines, whereas the liquidity of older bonds is una↵ected/improves. Corporate bond lending relaxes the constraint of limited collateral supply, thereby making the market more cohesive and complete. Following eligibility, bond-issuing firms reduce bank debt and expand corporate bond issuance, thus increasing overall debt size and extending maturity.

We document a sizable OTC discount in the interdealer market for German sovereign bonds where exchange and over-the-counter trading coexist: the vastmajority of OTC prices are favorable with respect to exchange quotes. This is a challenge for theories of OTC markets centered around search frictions but consistent with models of hybrid markets based on information frictions. We show empiricallythat proxies for both frictions determine variation in the discount, which is largely passed on to customers. Dealers trade on the exchange for immediacy and via brokers for opacity and anonymity, highlighting the complementary roles played by the di↵erent protocols.

The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 news, elaborated with the "Natural Language Toolkit" that uses machine learning models to extract the news' sentiment. We consider the period from January till June 2020 and analyze 203,886 online articles that deal with the pandemic and that were published on three platforms: MarketWatch.com, Reuters.com and NYtimes.com. Our findings show that there is a significant and positive relationship between sentiment score and market returns. This result indicates that an increase (decrease) in the sentiment score implies a rise in positive (negative) news and corresponds to positive (negative) market returns. We also find that the variance of the sentiments and the volume of the news sources for Reuters and MarketWatch, respectively, are negatively associated to market returns indicating that an increase of the uncertainty of the sentiment and an increase in the arrival of news have an adverse impact on the stock market.

Central banks unexpectedly tightening policy rates often observe the exchange value of their currency depreciate, rather than appreciate as predicted by standard models. We document this for Fed and ECB policy days using event studies and ask whether an information effect, where the public attributes the policy surprise to an unobserved state of the economy that the central bank is signaling by its policy may explain the abnormality. It turns out that many informational assumptions make a standard two- country New Keynesian model match this behavior. To identify the particular mechanism, we condition on multiple asset prices in the event study and model implications for these. We find that there is heterogeneity in this dimension in the event study and no model with a single regime can match the evidence. Further, even after conditioning on possible information effects driving longer term interest rates, there appear to be other drivers of exchange rates. Our results show that existing models have a long way to go in reconciling event study analysis with model-based mechanisms of asset pricing.

Dealers in over-the-counter securities form networks to mitigate search frictions. The audit trail for municipal bonds shows the dealer network has a core-periphery structure. Central dealers are more efficient at matching buyers and sellers than peripheral dealers, which shortens intermediation chains and speeds up trading. Investors face a tradeoff between execution speed and cost. Central dealers provide immediacy by pre-arranging fewer trades and holding larger inventory. However, trading costs increase strongly with dealer centrality. Investors with strong liquidity need trade with central dealers and at times of market-wide illiquidity. Central dealers thus serve as liquidity providers of last resort.

Berkshire Hathaway has realized a Sharpe ratio of 0.76, higher than any other stock or mutual fund with a history of more than 30 years, and Berkshire has a significant alpha to traditional risk factors. However, we find that the alpha becomes insignificant when controlling for exposures to Betting-Against-Beta and Quality-Minus-Junk factors. Further, we estimate that Buffett’s leverage is about 1.6-to-1 on average. Buffett’s returns appear to be neither luck nor magic, but, rather, reward for the use of leverage combined with a focus on cheap, safe, quality stocks. Decomposing Berkshires’ portfolio into ownership in publicly traded stocks versus wholly-owned private companies, we find that the former performs the best, suggesting that Buffett’s returns are more due to stock selection than to his effect on management. These results have broad implications for market efficiency and the implementability of academic factors.

The paper analyzes the welfare implications of a policy of mandatory disclosure of information on the value of directly held investments by banks. It is based on a model of payments in a network where the value of a bank’s equity depends on the value of directly held investment of its trading partners, i.e. there is “contagion”. Additionally banks have a profitable investment project for which they need funding from outsiders, but due to agency problems they can only obtain financing if their equity is large enough. Furthermore, banks can, at a cost, disclose the information of their directly held investments. We find that there are equilibrium with no disclosure and no funding for new investments projects. Yet when the disclosure costs are not too large, mandatory disclosure increases ex-ante welfare of banks and outside investors if and only if contagion is severe. The difference for the social and private benefits is that an individual bank’s disclosure of the value of its directly held investment can be uninformative due to counterparty default risk. Instead, mandatory disclosure of information by all banks allows outside investors to assess the financial architecture of the system and direct their funding to the solvent banks.

Political tension causing diplomatic strains rarely escalates into direct violence or war. This paper identifies the economic effects of such non-violent political tension by examining Taiwan’s sovereignty debate. Non-violent events harming the relationship with mainland China lead to an average daily drop of 200 basis points in Taiwanese stock returns. The impact is more severe on firms openly supporting the Taiwanese pro-independence party. Through a series of tests we identify this economic penalty as initiated by mainland authorities, who specifically target political opponents that are economically exposed to mainland China via either investments or exports.

We analyze a comprehensive sample of more than 10,000 U.S. OTC stocks. We provide much needed descriptive evidence on this market and show that the OTC market is a large, diverse, and dynamic trading environment with a rich set of regulatory and disclosure regimes, comprising venue rules and state laws beyond SEC regulation. We also exploit the institutional richness of the OTC market and analyze two key dimensions of market quality, liquidity and crash risk, across firms and regulatory regimes. We find that OTC firms that are subject to stricter regulatory regimes and disclosure requirements have higher market quality (higher liquidity and lower crash risk). Our analysis points to an important trade-off in regulating the OTC market and protecting investors: Lowering regulatory requirements (e.g., for disclosure) reduces the compliance burden for smaller firms, but also reduces market quality.

Using a panel of 1122 UK firms listed on the London Stock Exchange over the period of 1981 to 2009, endogenous switching regression models (SRM) incorporating a predicted corporate efficiency index are estimated in this paper in an effort to clarify the role of cash flow in examining the impact of capital-market imperfections. It is revealed that a firm's constrained credit status changes with the improvement of its efficiency. The results further reveal that financially constrained firm's investment is comparatively more sensitive to cash flow, but this sensitivity is negatively and significantly related with corporate efficiency. These results point to the fact that high investment sensitivity to cash flow may not be solely driven by measurement error in investment opportunity, but may still be interpreted as a consequence of imperfect substitutability between internal and external financing arising from the capital market imperfections.

Banks are optimally opaque institutions. They produce debt for use as a transaction medium (bank money), which requires that information about the backing assets – loans – not be revealed, so that bank money does not fluctuate in value, reducing the efficiency of trade. This need for opacity conflicts with the production of information about investment projects, needed for allocative efficiency. Intermediaries exist to hide such information, so banks select portfolios of information-insensitive assets. For the economy as a whole, firms endogenously separate into bank finance and capital market/stock market finance depending on the cost of producing information about their projects.

A four-factor model with two "mispricing" factors, in addition to market and size factors, accommodates a large set of anomalies better than notable four- and five-factor alternative models. Moreover, our size factor reveals a small-firm premium nearly twice usual estimates. The mispricing factors aggregate information across 11 prominent anomalies by averaging rankings within two clusters exhibiting the greatest co-movement in long-short returns. Investor sentiment predicts the mispricing factors, especially their short legs, consistent with a mispricing interpretation and the asymmetry in ease of buying versus shorting. Replacing book-to-market with a single composite mispricing factor produces a better-performing three-factor model.

Sukuk, the shari’a-compliant alternative mode of financing to conventional bonds, have considerably expanded over the last decade. We analyze the stock market reaction to two key features of this instrument: sukuk type and characteristics of the shari’a scholar certifying the issue. We use the event study methodology to measure abnormal returns for a sample of 131 sukuk from eight countries over the period 2006-2013 and find that Ijara sukuk structures exert a positive influence on the stock price of the issuing firm. We observe a similar positive impact from shari’a scholar reputation and proximity to issuer. Overall our results support the hypotheses that the type of sukuk and the choice of scholars hired to certify these securities matter for the market valuation of the issuing company.

We examine systemic risk in the Chinese banking system by estimating the conditional value at risk (CoVaR), the marginal expected shortfall (MES), the systemic impact index (SII) and the vulnerability index (VI) for 16 listed banks in China for the 2007-2014 period. We find that these measures show different patterns, capturing different aspects of systemic risk of Chinese banks. However, rankings of banks based on these measures are significantly correlated. The time series results for the CoVaR and MES measures suggest that systemic risk in the Chinese banking system decreased after the global financial crisis but started rising in 2014. Postprint

Is it true that speed bumps level the playing field, make financial markets more stable and reduce negative externalities of high-frequency trading (HFT) firms? We examine how the implementation of a particular speed bump - Midpoint Extended Life order (M-ELO) on Nasdaq impacted financial markets stability in terms of occurrences of mini-flash crashes in individual securities. We use high-frequency order book message data around the implementation date and apply difference-in-differences analysis to estimate the average treatment effect of the speed bump on market stability and liquidity provision. The results suggest that the introduction of the M-ELO decreases the average number of crashes on Nasdaq compared to other exchanges by 4.7%. Liquidity provision by HFT firms also improves. These findings imply that technology-based solutions by exchanges are feasible alternatives to regulatory intervention towards safer markets.

We study the information flow from the ECB on policy dates since its inception, using tick data. We show that three factors capture about all of the variation in the yield curve but that these are different factors with different variance shares in the window that contains the policy decision announcement and the window that contains the press conference. We also show that the QE-related policy factor has been dominant in the recent period and that Forward Guidance and QE effects have been very persistent on the longer-end of the yield curve. We further show that broad and banking stock indices' responses to monetary policy surprises depended on the perceived nature of the surprises. We find no evidence of asymmetric responses of financial markets to positive and negative surprises, in contrast to the literature on asymmetric real effects of monetary policy. Lastly, we show how to implement our methodology for any policy-related news release, such as policymaker speeches. To carry out the analysis, we construct the Euro Area Monetary Policy Event- Study Database (EA-MPD). This database, which contains intraday asset price changes around the policy decision announcement as well as around the press conference, is a contribution on its own right and we expect it to be the standard in monetary policy research for the euro area.

Do competition and incentives offered to designated market makers (DMMs) improve market liquidity? Using data from NYSE Euronext Paris, we show that an exogenous increase in competition among DMMs leads to a significant decrease in quoted and effective spreads, mainly through a reduction in adverse selection costs. In contrast, changes in incentives, through small changes in rebates and requirements for DMMs, do not have any tangible effect on market liquidity. Our results are of relevance for designing optimal contracts between exchanges and DMMs and for regulatory market oversight.

We show that firm liability structure and associated cash flow matter for firm behavior, and that financial market participants price stocks accordingly. Looking at firm level stock price changes around monetary policy announcements, we find that firms that have more cash flow exposure see their stock prices affected more. The stock price reaction depends on the maturity and type of debt issued by the firm, and the forward guidance provided by the Fed. This effect has remained intact during the ZLB period. Importantly, we show that the effect is not a rule of thumb behavior outcome and that the marginal stock market participant actually studies and reacts to the liability structure of firm balance sheets. The cash flow exposure at the time of monetary policy actions predicts future net worth, investment, and assets, verifying the stock pricing decision and also providing evidence of cash flow effects on firms’ real behavior. The results hold for S&P500 firms that are usually thought of not being subject to tight financial constraints.

We study how the informativeness of stock prices changes with the presence of high-frequency trading (HFT). Our estimate is based on the staggered start of HFT participation in a panel of international exchanges. With HFT presence, market prices are a less reliable predictor of future cash flows and investment, even more so for longer horizons. Further, firm-level idiosyncratic volatility decreases, and the holdings and trades by institutional investors deviate less from the market-capitalization weighted portfolio as a benchmark. Our results document that the informativeness of prices decreases subsequent to the start of HFT. These findings are consistent with theoretical models of HFTs' ability to anticipate informed order flow, resulting in decreased incentives to acquire fundamental information.

Recent evidence of excessive comovement among stocks following index additions (Barberis, Shleifer, and Wurgler, 2005) and stock splits (Green and Hwang, 2009) challenges traditional finance theory. Based on a simple model, we show that the bivariate regressions relied upon in the literature often provide little or no information about the economic magnitude of the phenomenon of interest, and the coefficients in these regressions are very sensitive to time-variation in the characteristics of the return processes that are unrelated to excess comovement. Instead, univariate regressions of the stock return on the returns of the group it is leaving (e.g., non-S&P stocks) and the group it is joining (e.g., S&P stocks) reveal the relevant information. When we reexamine the empirical evidence using control samples matched on past returns and compute Dimson betas, almost all evidence of excess comovement disappears. The results in the literature are consistent with changes in the fundamental factor loadings of the stocks. One key element to understanding these striking results is that, in both the examples we study, the stocks exhibit strong returns prior to the event in question. We document the heretofore unknown empirical regularity that winner stocks exhibit increases in betas. Thus, much of the apparent excess comovement is just a manifestation of momentum.

Purpose– The purpose of this paper is to uncover the determinants of the ten-year Greek bond yield in both pre- and post-crisis period that caused the unprecedented event, a country member of the Euro area, not to be able to tap the market. In doing so, following the recent literature, the authors employ two major set of variables, market driven and macroeconomic variables and the authors find two classes of results. Among others, debt to GDP ratio, deficit, inflation and unemployment, play a more significant role as determinants of the ten-years Greek bond yield during the crisis and second, the ten-years yield exceeds that fundamentals that price in. Moreover, the authors explicitly test for the impact of speculation on the yield. These results are in line with other empirical studies and shed line to the dramatic evolution of the bond yields in terms of fiscal consolidation era as it is in Greece. Since the Greek debt crisis is ongoing more than five years, policy makers should make substantial changes in their macro projections taking under consideration more the variables of inflation and unemployment, and release a viable concrete plan of debt relief, which among other, secures the success of the macro projections.Design/methodology/approach– Empirical study on Greek debt crisis applying both macroeconomics and market indicators in separated estimations.Findings– Debt to GDP ratio, deficit, inflation and unemployment among others, play a more significant role as determinants of the ten-years Greek bond yield during the crisis than had before and second, during the crisis ten-years yield is above the price that fundamentals would imply.Originality/value– To the best of the authors’ knowledge it is the first time that the authors study the Greek debt crisis applying fundamental and market factors.

The announcement of Timothy Geithner as nominee for Treasury Secretary in November 2008 produced a cumulative abnormal return for financial firms with which he had a prior connection. This return was about 6% after the first full day of trading and about 12% after ten trading days. There were subsequently abnormal negative returns for connected firms when news broke that Geithner’s confirmation might be derailed by tax issues. Personal connections to top executive branch officials can matter greatly even in a country with strong overall institutions, at least during a time of acute financial crisis and heightened policy discretion.

Is liquidity creation in shadow banking vulnerable to self-fulfilling runs? Investors typically decide to withdraw simultaneously, making it challenging to identify self-fulfilling runs. In this paper, we exploit the contractual structure of funding agreement-backed securities offered by U.S. life insurers to institutional investors. The contracts allow us to obtain variation in investors’ expectations about other investors’ actions that is plausibly orthogonal to changes in fundamentals. We find that a run on U.S. life insurers during the summer of 2007 was partly due to self-fulfilling expectations. Our findings suggest that other contemporaneous runs in shadow banking by institutional investors may have had a self-fulfilling component.

Attainment of rational expectations equilibria in asset markets calls for the price system to disseminate agents’ private information to others. Markets populated by human agents are known to be capable of converging to rational expectations equilibria. This paper reports comparable market outcomes when human agents are replaced by boundedly-rational algorithmic agents who use a simple means-end heuristic. These algorithmic agents lack the capability to optimize; yet outcomes of markets populated by them converge near the equilibrium derived from optimization assumptions. These findings point to market structure (rather than cognition or optimization) being an important determinant of efficient aggregate level outcomes.

This study examines how ownership structure affects the information environment of publicly traded firms in China. We hypothesize that concentrated ownership and the associated separation of ultimate control and ownership rights create agency conflicts between controlling shareholders and minority investors leading controlling owners to withhold firm-specific information from the market. We test this hypothesis by analyzing the effect of ultimate ownership structure and analyst coverage on stock return synchronicity. We find that a greater separation of control and ownership rights increases the response coefficient of stock return synchronicity to analyst coverage. This result is robust to endogeneity, a series of robustness checks, and an alternative hypothesis based on noise trading. The incentive of controlling owners to limit firm transparency thus leads analysts to disseminate more market-wide information.

© 2016 Elsevier B.V.. This paper examines the extent to which individual investors provide liquidity to the stock market and whether they are compensated for doing so. We show that the ability of aggregate retail order imbalances, contrarian in nature, to predict short-term future returns is significantly enhanced during times of market stress, when market liquidity provisions decline. While a weekly rebalanced portfolio long in stocks purchased and short in stocks sold by retail investors delivers 19% annualized excess returns over a four-factor model from 2002 to 2010, it delivers up to 40% annualized returns in periods of high uncertainty. Despite this high aggregate performance, individual investors do not reap the rewards from liquidity provision because they experience a negative return on the day of their trade and they reverse their trades long after the excess returns from liquidity provision are dissipated. During the financial crisis, French active retail stock traders stepped up to the plate, increased stock holdings, and provided liquidity. In contrast, mutual fund investors fled from delegation by selling their mutual funds.