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We study the relation between the credit cycle and macro economic fundamentals in an intensity based framework. Using rating transition and default data of U.S. corporates from Standard and Poor’s over the period 1980–2005 we directly estimate the credit cycle from the micro rating data. We relate this cycle to the business cycle, bank lending conditions, and financial market variables. In line with earlier studies, these variables appear to explain part of the credit cycle. As our main contribution, we test for the correct dynamic specification of these models. In all cases, the hypothesis of correct dynamic specification is strongly rejected. Moreover, accounting for dynamic mis-specification, many of the variables thought to explain the credit cycle, turn out to be insignificant. The main exceptions are GDP growth, and to some extent stock returns and stock return volatilities. Their economic significance appears low, however. This raises the puzzle of what macro-economic fundamentals explain default and rating dynamics. JEL Classification: G11, G21
After five years of the Syrian war, we can recognize “four” conflicting parties on the ground – Assad, ISIS, rebel groups and the Kurds. Each one of these conflicting parties has regional and international backers, who ironically do not agree with each other about whom they are fighting for or against. The Syrian regime is backed by Iran, Russia, Hezbollah and Iraqi militias. ISIS is backed by the flood of global Jihadists from all over the world. Rebel groups are backed by Gulf States, Turkey, Jordan and the US. The Kurds are supported by the US. While in the media, we always say “the Syrian conflict, crisis or war”, I wonder what makes this war that much Syrian. It is rather a war on the land of Syria, in which more than 50% of Syria’s population have been displaced, over 220 thousand have been killed, and many more have been injured or imprisoned. According to Amnesty international, more than 12.8 million Syrian people are in “urgent need of humanitarian assistance”. In addition to this humanitarian catastrophe, most of the Syrian land and infrastructure have been destroyed. So what is that Syrian about the Syrian “war”?...
Within a two step GARCH framework we estimate the time-varying spillover effects from European and US return innovations to 10 economic sectors within the euro area, the United States, and the United Kingdom. We use daily data from January 1988 - March 2002. At the beginning of our sample sectors in all three currency areas/blocks formed a quite homogeneous group exhibiting only minor sector-specific characteristics. However, over time sectors became more heterogeneous, that is the response to aggregate shocks increasingly varies across sectors. This provides evidence that sector-specific effects gained in importance. European industries show increased heterogeneity simultaneously with the start of the European Monetary Union, whereas in the US this trend started in the early 1990's. Information technology and non-cyclical services (including telecommunication services) became the most integrated sectors worldwide, which are most affected by aggregate European and US shocks. On the other hand, basic industries, non-cyclical consumer goods, resources, and utilities became less affected by aggregate shocks. Volatility spillovers proved to be small and volatile. JEL_Klassifikation: G1, F36
This paper investigates how US and European equity markets affected the US dollar-euro rate from the introduction of the euro through April 2001. More detailed the following questions are raised: First, do movements in the stock market help to explain movements in the exchange rate? Second, how large is the impact of stock market returns on the exchange rate? And third, does the exchange rate respond differently to different equity markets? The investigation was carried out using daily data within a vector-autoregression model (VAR). Surprisingly, positive returns on US equities as well as on European stock markets had a negative impact on the US dollar-euro rate. Quantitatively, the US dollar-euro rate seems to be more influenced by European stock markets compared to US stock markets. Further, there is evidence for a somewhat weaker impact of technology stock indices on the US dollar-euro rate compared with broader market indices. Finally, the long-term interest rate differential seems to contain more information about exchange rate movements than the short-term interest rate differential. This Version: August, 2001. Klassifikation: C32, F31
Can a tightening of the bank resolution regime lead to more prudent bank behavior? This policy paper reviews arguments for why this could be the case and presents evidence linking changes in bank resolution regimes with bank risk-taking. The authors find that the tightening of bank resolution in the U.S. (i.e., the introduction of the Orderly Liquidation Authority) significantly decreased overall risk-taking of the most affected banks. This effect, however, does not hold for the largest and most systemically important banks – too-big-to-fail seems to be unresolved. Building on the insights from the U.S. experience, the authors derive principles for effective resolution regimes and evaluate the emerging resolution regime for Europe.
I propose that the rising number of dualearner couples in the United States impacts the trend toward declining residential mobility and rising commute times. I describe these mobility trends in the United States, first relocation trends and then daily commuting trends. My research views the commute as the bridge in time and space between home and work that a) reflects couples' negotiation of preferences, relative job importance, barriers, and opportunities; b) has consequences for family functioning, c) reflects gender differences in the ways time and place are organized, and d) varies across the life course, by race, class, and region. I describe differences in family type and family functioning based on the commuting pattern and suggest a course of future comparative research that may improve awareness of how families and couples handle labor market demands, what structures shape the picture of couples mobility, and how nation-specific circumstances orient couples toward certain kinds of mobility and away from others.
This paper examines to what extent the build-up of 'global imbalances' since the mid-1990s can be explained in a purely real open-economy DSGE model in which agents' perceptions of long-run growth are based on filtering observed changes in productivity. We show that long-run growth estimates based on filtering U.S. productivity data comove strongly with long-horizon survey expectations. By simulating the model in which agents filter data on U.S. productivity growth, we closely match the U.S. current account evolution. Moreover, with household preferences that control the wealth effect on labor supply, we can generate output movements in line with the data.
This paper examines to what extent the build-up of "global imbalances" since the mid-1990s can be explained in a purely real open-economy DSGE model in which agents’ perceptions of long-run growth are based on filtering observed changes in productivity. We show that long-run growth estimates based on filtering U.S. productivity data comove strongly with long-horizon survey expectations. By simulating the model in which agents filter data on U.S. productivity growth, we closely match the U.S. current account evolution. Moreover, with household preferences that control the wealth effect on labor supply, we can generate output movements in line with the data. JEL Classification: E13, E32, D83, O40
Discussions of the international dimension of the global economic crisis have frequently focused on the build-up of large current account "imbalances" since the mid-1990s. This paper examines the extent to which the U.S. current account can be understood in a purely real open-economy DSGE model, were agents' perception of long-run growth evolves over time in response to changes in productivity. We first show that long-run growth forecasts based on
ltering actual productivity growth comove strongly with survey measures of expectations. Simulating the model, we
nd that including data on U.S. TFP growth and the world real interest rate can, under standard parametrizations of our model, explain the evolution of the U.S. current account quite closely. With household preference that allow positive labor supply e¤ects after favorable news of future income, we can also generate output movements in line with the data.
This paper reconsiders the effect of investor sentiment on stock prices. Using survey-based sentiment indicators from Germany and the US we confirm previous findings of predictability at intermediate time horizons. The main contribution of our paper is that we also analyze the immediate price reaction to the publication of sentiment indicators. We find that the sign of the immediate price reaction is the same as that of the predictability at intermediate time horizons. This is consistent with sentiment being related to mispricing but is inconsistent with the alternative explanation that sentiment indicators provide information about future expected returns. JEL Classification: G12, G14 Keywords: Investor Sentiment , Event Study , Return Predictability
Credit card debt puzzles
(2005)
Most US credit card holders revolve high-interest debt, often combined with substantial (i) asset accumulation by retirement, and (ii) low-rate liquid assets. Hyperbolic discounting can resolve only the former puzzle (Laibson et al., 2003). Bertaut and Haliassos (2002) proposed an 'accountant-shopper' framework for the latter. The current paper builds, solves, and simulates a fully-specified accountant-shopper model, to show that this framework can actually generate both types of co-existence, as well as target credit card utilization rates consistent with Gross and Souleles (2002). The benchmark model is compared to setups without self-control problems, with alternative mechanisms, and with impatient but fully rational shoppers. Klassifikation: E210, G110
Both unconditional mixed-normal distributions and GARCH models with fat-tailed conditional distributions have been employed for modeling financial return data. We consider a mixed-normal distribution coupled with a GARCH-type structure which allows for conditional variance in each of the components as well as dynamic feedback between the components. Special cases and relationships with previously proposed specifications are discussed and stationarity conditions are derived. An empirical application to NASDAQ-index data indicates the appropriateness of the model class and illustrates that the approach can generate a plausible disaggregation of the conditional variance process, in which the components' volatility dynamics have a clearly distinct behavior that is, for example, compatible with the well-known leverage effect. Klassifikation: C22, C51, G10
Using data of US domestic mergers and acquisitions transactions, this paper shows that acquirers have a preference for geographically proximate target companies. We measure the ‘home bias’ against benchmark portfolios of hypothetical deals where the potential targets consist of firms of similar size in the same four-digit SIC code that have been targets in other transactions at about the same time or firms that have been listed at a stock exchange at that time. There is a strong and consistent home bias for M&A transactions in the US, which is significantly declining during the observation period, i.e. between 1990 and 2004. At the same time, the average distances between target and acquirer increase articulately. The home bias is stronger for small and relatively opaque target companies suggesting that local information is the decisive factor in explaining the results. Acquirers that diversify into new business lines also display a stronger preference for more proximate targets. With an event study we show that investors react relatively better to proximate acquisitions than to distant ones. That reaction is more important and becomes significant in times when the average distance between target and acquirer becomes larger, but never becomes economically significant. We interpret this as evidence for the familiarity hypothesis brought forward by Huberman (2001): Acquirers know about the existence of proximate targets and are more likely to merge with them without necessarily being better informed. However, when comparing the best and the worst deals, we are able to show a dramatic difference in distances and home bias: The most successful deals display on average a much stronger home bias and distinctively smaller distance between acquirer and target than the least successful deals. Proximity in M&A transactions therefore is a necessary but not sufficient condition for success. The paper contributes to the growing literature on the role of distance in financial decisions.
This paper addresses and resolves the issue of microstructure noise when measuring the relative importance of home and U.S. market in the price discovery process of Canadian interlisted stocks. In order to avoid large bounds for information shares, previous studies applying the Cholesky decomposition within the Hasbrouck (1995) framework had to rely on high frequency data. However, due to the considerable amount of microstructure noise inherent in return data at very high frequencies, these estimators are distorted. We offer a modified approach that identifies unique information shares based on distributional assumptions and thereby enables us to control for microstructure noise. Our results indicate that the role of the U.S. market in the price discovery process of Canadian interlisted stocks has been underestimated so far. Moreover, we suggest that rather than stock specific factors, market characteristics determine information shares.
The paper analyses the effects of three sets of accounting rules for financial instruments - Old IAS before IAS 39 became effective, Current IAS or US GAAP, and the Full Fair Value (FFV) model proposed by the Joint Working Group (JWG) - on the financial statements of banks. We develop a simulation model that captures the essential characteristics of a modern universal bank with investment banking and commercial banking activities. We run simulations for different strategies (fully hedged, partially hedged) using historical data from periods with rising and falling interest rates. We show that under Old IAS a fully hedged bank can portray its zero economic earnings in its financial statements. As Old IAS offer much discretion, this bank may also present income that is either positive or negative. We further show that because of the restrictive hedge accounting rules, banks cannot adequately portray their best practice risk management activities under Current IAS or US GAAP. We demonstrate that - contrary to assertions from the banking industry - mandatory FFV accounting adequately reflects the economics of banking activities. Our detailed analysis identifies, in addition, several critical issues of the accounting models that have not been covered in previous literature. December 2002. Revised: June 2003. Later version: http://publikationen.ub.uni-frankfurt.de/volltexte/2005/1026/ with the title: "Accounting for financial instruments in the banking industry : conclusions from a simulation model"
Accounting for financial instruments in the banking industry: conclusions from a simulation model
(2003)
The paper analyses the effects of three sets of accounting rules for financial instruments - Old IAS before IAS 39 became effective, Current IAS or US GAAP, and the Full Fair Value (FFV) model proposed by the Joint Working Group (JWG) - on the financial statements of banks. We develop a simulation model that captures the essential characteristics of a modern universal bank with investment banking and commercial banking activities. We run simulations for different strategies (fully hedged, partially hedged) using historical data from periods with rising and falling interest rates. We show that under Old IAS a fully hedged bank can portray its zero economic earnings in its financial statements. As Old IAS offer much discretion, this bank may also present income that is either positive or negative. We further show that because of the restrictive hedge accounting rules, banks cannot adequately portray their best practice risk management activities under Current IAS or US GAAP. We demonstrate that - contrary to assertions from the banking industry - mandatory FFV accounting adequately reflects the economics of banking activities. Our detailed analysis identifies, in addition, several critical issues of the accounting models that have not been covered in previous literature.
Recent changes in accounting regulation for financial instruments (SFAS 133, IAS 39) have been heavily criticized by representatives from the banking industry. They argue for retaining a historical cost based "mixed model" where accounting for financial instruments depends on their designation to either trading or nontrading activities. In order to demonstrate the impact of different accounting models for financial instruments on the financial statements of banks, we develop a bank simulation model capturing the essential characteristics of a modern universal bank with investment banking and commercial banking activities. In our simulations we look at different scenarios with periods of increasing/decreasing interest rates using historical data and with different banking strategies (fully hedged; partially hedged). The financial statements of our model bank are prepared under different accounting rules ("Old" IAS before implementation of IAS 39; current IAS) with and without hedge accounting as offered by the respective sets of rules. The paper identifies critical issues of applying the different accounting rules for financial instruments to the activities of a universal bank. It demonstrates important shortcomings of the "Old" IAS rules (before IAS 39), and of the current IAS rules. Under the current IAS rules the results of a fully hedged bank may have to show volatility in income statements due to changes in market interest rates. Accounting results of a partially hedged bank in the same scenario may be less affected even though there are economic gains or losses.
Our study provides evidence on the share price reactions to the announcement of equity issues in Germany, where capital market is characterized by institutional features distinct from the U.S. market. German seasoned equity issues yield a positive market reaction which contrasts to the significant negative abnormal returns reported for the U.S. We provide evidence that these results are due to differences in both issuing characteristics and floatation methods, and in the corporate governance and ownership structures of the two countries. Our study explains much of the empirical puzzle of different market reactions to seemingly similar events across financial markets.
The globalization of markets and companies has increased the demand for internationally comparable high quality accounting information resulting from a common set of accounting rules. Despite remarkable efforts of international harmonization for more than 25 years, accounting regulation is still the domain of national legislators or delegated standard setters. The paper starts by outlining the reasons for this state of affairs and by characterizing the different institutional backgrounds of accounting standard setting in four selected countries as well as on the international level. This is followed by a summary of important international differences in accounting rules and a summary of the empirical evidence of the impact of different rules on the resulting numbers and their relevance to users. It is argued that neither a priori theoretical reasoning nor the evidence from empirical studies provides a convincing basis for choices between accounting regimes and even less so between specific accounting rules. As there is a broad consensus that there is a need for one set of global accounting standards the final sections of the paper discuss currently existing and proposed structures of international accounting standard setting. The evolving new IASC structure is critically evaluated.
This paper analyses economic power, state power and ideological power in the age of Donald Trump with the help of critical theory. It applies the critical theory approaches of thinkers such as Franz Neumann, Theodor W. Adorno and Erich Fromm. It analyses changes of US capitalism that have together with political anxiety and demagoguery brought about the rise of Donald Trump. This article draws attention to the importance of state theory for understanding Trump and the changes of politics that his rule may bring about. It is in this context important to see the complexity of the state, including the dynamic relationship between the state and the economy, the state and citizens, intra-state relations, inter-state relations, semiotic representations of and by the state, and ideology. Trumpism and its potential impacts are theorised along these dimensions. The ideology of Trump (Trumpology) has played an important role not just in his business and brand strategies, but also in his political rise. The (pseudo-)critical mainstream media have helped making Trump and Trumpology by providing platforms for populist spectacles that sell as news and attract audiences. By Trump making news in the media, the media make Trump. An empirical analysis of Trump’s rhetoric and the elimination discourses in his NBC show The Apprentice underpins the analysis of Trumpology. The combination of Trump’s actual power and Trump as spectacle, showman and brand makes his government’s concrete policies fairly unpredictable. An important question that arises is what social scientists’ role should be in the conjuncture that the world is experiencing.