Bitcoin Flash Crash on May 19, 2021: What Did Really Happen on Binance?
Tim Baumgartner, Andre Guettler
IWH Discussion Papers,
No. 25,
2022
Abstract
Bitcoin plunged by 30% on May 19, 2021. We examine the outage the largest crypto exchange Binance experienced during the crash, when it halted trading for retail clients and stopped providing transaction data. We find evidence that Binance back-filled these missing transactions with data that does not conform to Benford‘s Law. The Bitcoin futures price difference between Binance and other exchanges was seven times larger during the crash period compared to a prior reference period. Data manipulation is a plausible explanation for our findings. These actions are in line with Binance aiming to limit losses for its futures-related insurance fund.
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Measuring Market Expectations
Christiane Baumeister
Handbook of Economic Expectations,
November
2022
Abstract
Asset prices are a valuable source of information about financial market participants' expectations about key macroeconomic variables. However, the presence of time-varying risk premia requires an adjustment of market prices to obtain the market's rational assessment of future price and policy developments. This paper reviews empirical approaches for recovering market-based expectations. It starts by laying out the two canonical modeling frameworks that form the backbone for estimating risk premia and highlights the proliferation of risk pricing factors that result in a wide range of different asset-price-based expectation measures. It then describes a key methodological innovation to evaluate the empirical plausibility of risk premium estimates and to identify the most accurate market-based expectation measure. The usefulness of this general approach is illustrated for price expectations in the global oil market. Then, the paper provides an overview of the body of empirical evidence for monetary policy and inflation expectations with a special emphasis on market-specific characteristics that complicate the quest for the best possible market-based expectation measure. Finally, it discusses a number of economic applications where market expectations play a key role for evaluating economic models, guiding policy analysis, and deriving shock measures.
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Political Ties and Raising Capital in Global Markets: Evidence from Yankee Bonds
Gene Ambrocio, Xian Gu, Iftekhar Hasan
Journal of Corporate Finance,
June
2022
Abstract
This paper examines whether state-to-state political ties help firms obtain better terms when raising funds in global capital markets. Focusing on the Yankee bonds market, we find that issuances by firms from countries with close political ties with the US feature lower yield spreads, higher issuance amounts, and longer maturities. Such an association is more pronounced for firms located in low income and highly indebted countries as well as firms in government-related industries, first-time issuers, and relatively smaller firms. Our study provides evidence supporting the notion that country-level political relationship is an important factor when raising capital in international markets.
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Why They Keep Missing: An Empirical Investigation of Sovereign Bond Ratings and Their Timing
Gregor von Schweinitz, Makram El-Shagi
Scottish Journal of Political Economy,
No. 2,
2022
Abstract
Two contradictory strands of the rating literature criticize that rating agencies merely follow the market on the one hand, and emphasizing that rating changes affect capital movements on the other hand. Both focus on explaining rating levels rather than the timing of rating announcements. Contrarily, we explicitly differentiate between a decision to assess a country and the actual rating decision. We show that this differentiation significantly improves the estimation of the rating function. The three major rating agencies treat economic fundamentals similarly, while differing in their response to other factors such as strategic considerations. This reconciles the conflicting literature.
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The Effects of Sovereign Risk: A High Frequency Identification Based on News Ticker Data
Ruben Staffa
IWH Discussion Papers,
No. 8,
2022
Abstract
This paper uses novel news ticker data to evaluate the effect of sovereign risk on economic and financial outcomes. The use of intraday news enables me to derive policy events and respective timestamps that potentially alter investors’ beliefs about a sovereign’s willingness to service its debt and thereby sovereign risk. Following the high frequency identification literature, in the tradition of Kuttner (2001) and Guerkaynak et al. (2005), associated variation in sovereign risk is then obtained by capturing bond price movements within narrowly defined time windows around the event time. I conduct the outlined identification for Italy since its large bond market and its frequent coverage in the news render it a suitable candidate country. Using the identified shocks in an instrumental variable local projection setting yields a strong instrument and robust results in line with theoretical predictions. I document a dampening effect of sovereign risk on output. Also, borrowing costs for the private sector increase and inflation rises in response to higher sovereign risk.
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Die Deutsche Wirtschaft in der Pandemie
Eva Dettmann, André Diegmann, Ute Leber, Matthias Mertens, Steffen Müller, Verena Plümpe, Barbara Schwengler
IAB-Forschungsbericht,
2021
Abstract
Der Ausbruch der Corona-Pandemie zu Beginn des Jahres 2020 beendete die längste Wachstumsphase der Wirtschaft im wiedervereinten Deutschland. Schon die erste Welle der Corona-Krise bedeutet einen großen Einschnitt in die Geschäftstätigkeit vieler Betriebe in Deutschland, etwa zwei Drittel aller Betriebe in West- und Ostdeutschland sind zum Befragungszeitpunkt, d.h. zwischen Juni und Oktober 2020, von negativen Auswirkungen der Pandemie oder den Maßnahmen zu ihrer Eindämmung betroffen. Den Rückgang der Nachfrage bezeichnen 85 Prozent und damit mit Abstand die meisten Betriebe in Deutschland als problematisch. Behördlich angeordnete Schließungen wirkten sich auf die Geschäftstätigkeit etwa eines Drittels der Betriebe negativ aus. Vor allem betroffene kleine (neun Prozent) und Kleinstbetriebe (zwölf Prozent) sehen sich in ihrer Existenz bedroht.
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Individualism, Human Capital Formation, and Labor Market Success
Katharina Hartinger, Sven Resnjanskij, Jens Ruhose, Simon Wiederhold
Abstract
There is an ongoing debate about the economic effects of individualism. We establish that individualism leads to better educational and labor market outcomes. Using data from the largest international adult skill assessment, we identify the effects of individualism by exploiting variation between migrants at the origin country, origin language, and person level. Migrants from more individualistic cultures have higher cognitive skills and larger skill gains over time. They also invest more in their skills over the life-cycle, as they acquire more years of schooling and are more likely to participate in adult education activities. In fact, individualism is more important in explaining adult skill formation than any other cultural trait that has been emphasized in previous literature. In the labor market, more individualistic migrants earn higher wages and are less often unemployed. We show that our results cannot be explained by selective migration or omitted origin-country variables.
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Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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Introduction to "Measuring and Accounting for Innovation in the Twenty-First Century"
Javier Miranda
Measuring and Accounting for Innovation in the Twenty-First Century,
NBER Studies in Income and Wealth, Vol 78 /
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies. This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution. The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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