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Credit boom detection methodologies (such as threshold method) lack robustness as they are based on univariate detrending analysis and resort to ratios of credit to real activity. I propose a quantitative indicator to detect atypical behavior of credit from a multivariate system - a monetary VAR. This methodology explicitly accounts for endogenous interactions between credit, asset prices and real activity and detects atypical credit expansions and contractions in the Euro Area, Japan and the U.S. robustly and timely. The analysis also proves useful in real time.
We show that the presence of high frequency trading (HFT) has significantly mitigated the frequency and severity of end-of-day price dislocation, counter to recent concerns expressed in the media. The effect of HFT is more pronounced on days when end of day price dislocation is more likely to be the result of market manipulation on days of option expiry dates and end of month. Moreover, the effect of HFT is more pronounced than the role of trading rules, surveillance, enforcement and legal conditions in curtailing the frequency and severity of end-of-day price dislocation. We show our findings are robust to different proxies of the start of HFT by trade size, cancellation of orders, and co-location.
We examine the impact of stock exchange trading rules and surveillance on the frequency and severity of suspected insider trading cases in 22 stock exchanges around the world over the period January 2003 through June 2011. Using new indices for market manipulation, insider trading, and broker-agency conflict based on the specific provisions of the trading rules of each stock exchange, along with surveillance to detect non-compliance with such rules, we show that more detailed exchange trading rules and surveillance over time and across markets significantly reduce the number of cases, but increase the profits per case.
The analyses of intersectoral linkages of Leontief (1941) and Hirschman (1958) provide a natural way to study the transmission of risk among interconnected banks and to measure their systemic importance. In this paper we show how classic input-output analysis can be applied to banking and how to derive six indicators that capture different aspects of systemic importance, using a simple numerical example for illustration. We also discuss the relationship with other approaches, most notably network centrality measures, both formally and by means of a simulated network.
Can be a world order shaped by equivalents in the framework of the supranational model of Europe with the same legitimacy and with the same effectiveness? In this study was argued that Civilizing World Order (CWO) by Transnational Norm-Building Networks (TNNs) should have the legitimacy and effectiveness of the European Union supranational order. In this context, the concept of decentration (supra: centralization and infra: decentralization) which includes the nexus of voice (democratic participation) and entitlement (legal-social rights and duties) was examined. In this study as methodology published secondary data, online resources were used in order to reinforce the hypothesis.
We would study not style as such, but style 'at the scale of the sentence': the lowest level, it seemed, at which style as a distinct phenomenon became visible. Implicitly, we were defining style as a combination of smaller linguistic units, which made it, in consequence, particularly sensitive to changes in scale—from words to clauses to whole sentences.
We assess the effects of monetary policy on bank risk to verify the existence of a risk-taking channel - monetary expansions inducing banks to assume more risk. We first present VAR evidence confirming that this channel exists and tends to concentrate on the bank funding side. Then, to rationalize this evidence we build a macro model where banks subject to runs endogenously choose their funding structure (deposits vs. capital) and risk level. A monetary expansion increases bank leverage and risk. In turn, higher bank risk in steady state increases asset price volatility and reduces equilibrium output.
We consider the continuous-time portfolio optimization problem of an investor with constant relative risk aversion who maximizes expected utility of terminal wealth. The risky asset follows a jump-diffusion model with a diffusion state variable. We propose an approximation method that replaces the jumps by a diffusion and solve the resulting problem analytically. Furthermore, we provide explicit bounds on the true optimal strategy and the relative wealth equivalent loss that do not rely on results from the true model. We apply our method to a calibrated affine model and fine that relative wealth equivalent losses are below 1.16% if the jump size is stochastic and below 1% if the jump size is constant and γ ≥ 5. We perform robustness checks for various levels of risk-aversion, expected jump size, and jump intensity.
Regionale Wettbewerbsfähigkeit der Metropolregionen FrankfurtRheinMain und Stuttgart im Vergleich
(2013)
The substantial variation in the real price of oil since 2003 has renewed interest in the question of how to forecast monthly and quarterly oil prices. There also has been increased interest in the link between financial markets and oil markets, including the question of whether financial market information helps forecast the real price of oil in physical markets. An obvious advantage of financial data in forecasting oil prices is their availability in real time on a daily or weekly basis. We investigate whether mixed-frequency models may be used to take advantage of these rich data sets. We show that, among a range of alternative high-frequency predictors, especially changes in U.S. crude oil inventories produce substantial and statistically significant real-time improvements in forecast accuracy. The preferred MIDAS model reduces the MSPE by as much as 16 percent compared with the no-change forecast and has statistically significant directional accuracy as high as 82 percent. This MIDAS forecast also is more accurate than a mixed-frequency realtime VAR forecast, but not systematically more accurate than the corresponding forecast based on monthly inventories. We conclude that typically not much is lost by ignoring high-frequency financial data in forecasting the monthly real price of oil.
U.S. retail food price increases in recent years may seem large in nominal terms, but after adjusting for inflation have been quite modest even after the change in U.S. biofuel policies in 2006. In contrast, increases in the real prices of corn, soybeans, wheat and rice received by U.S. farmers have been more substantial and can be linked in part to increases in the real price of oil. That link, however, appears largely driven by common macroeconomic determinants of the prices of oil and agricultural commodities rather than the pass-through from higher oil prices. We show that there is no evidence that corn ethanol mandates have created a tight link between oil and agricultural markets. Rather increases in food commodity prices not associated with changes in global real activity appear to reflect a wide range of idiosyncratic shocks ranging from changes in biofuel policies to poor harvests. Increases in agricultural commodity prices in turn contribute little to U.S. retail food price increases, because of the small cost share of agricultural products in food prices. There is no evidence that oil price shocks have caused more than a negligible increase in retail food prices in recent years. Nor is there evidence for the prevailing wisdom that oil-price driven increases in the cost of food processing, packaging, transportation and distribution are responsible for higher retail food prices. Finally, there is no evidence that oil-market specific events or for that matter U.S. biofuel policies help explain the evolution of the real price of rice, which is perhaps the single most important food commodity for many developing countries.
The U.S. Energy Information Administration (EIA) regularly publishes monthly and quarterly forecasts of the price of crude oil for horizons up to two years, which are widely used by practitioners. Traditionally, such out-of-sample forecasts have been largely judgmental, making them difficult to replicate and justify. An alternative is the use of real-time econometric oil price forecasting models. We investigate the merits of constructing combinations of six such models. Forecast combinations have received little attention in the oil price forecasting literature to date. We demonstrate that over the last 20 years suitably constructed real-time forecast combinations would have been systematically more accurate than the no-change forecast at horizons up to 6 quarters or 18 months. MSPE reduction may be as high as 12% and directional accuracy as high as 72%. The gains in accuracy are robust over time. In contrast, the EIA oil price forecasts not only tend to be less accurate than no-change forecasts, but are much less accurate than our preferred forecast combination. Moreover, including EIA forecasts in the forecast combination systematically lowers the accuracy of the combination forecast. We conclude that suitably constructed forecast combinations should replace traditional judgmental forecasts of the price of oil.
Are product spreads useful for forecasting? An empirical evaluation of the Verleger hypothesis
(2013)
Notwithstanding a resurgence in research on out-of-sample forecasts of the price of oil in recent years, there is one important approach to forecasting the real price of oil which has not been studied systematically to date. This approach is based on the premise that demand for crude oil derives from the demand for refined products such as gasoline or heating oil. Oil industry analysts such as Philip Verleger and financial analysts widely believe that there is predictive power in the product spread, defined as the difference between suitably weighted refined product market prices and the price of crude oil. Our objective is to evaluate this proposition. We derive from first principles a number of alternative forecasting model specifications involving product spreads and compare these models to the no-change forecast of the real price of oil. We show that not all product spread models are useful for out-of-sample forecasting, but some models are, even at horizons between one and two years. The most accurate model is a time-varying parameter model of gasoline and heating oil spot spreads that allows the marginal product market to change over time. We document MSPE reductions as high as 20% and directional accuracy as high as 63% at the two-year horizon, making product spread models a good complement to forecasting models based on economic fundamentals, which work best at short horizons.
Gerichte können einem Täter, der wegen Straftaten verurteilt wurde, die auf seinen Suchtmittelkonsum zurückgehen, die Weisung erteilen, jeglichen Alkoholkonsum zu unterlassen und sich entsprechenden Kontrollen zu unterziehen. Die Kontrolle der Weisungen stößt jedoch bislang an enge Grenzen. Bisher kann deren Einhaltung nur stichprobenartig überprüft werden. Einen neuen Ansatz bietet eine kontinuierliche (transdermale) Alkoholüberwachung mittels eines am Fußgelenk getragenen Messgerätes. Ein Blick in die USA zeigt, dass die elektronische Überwachung des Alkoholkonsums erprobt wurde und sich durchgesetzt hat. Der Beitrag untersucht die Bedeutung einer kontinuierlichen transdermalen Alkoholüberwachung für die Abstinenzkontrolle und inwieweit diese Methode im deutschen System verankert werden kann.
Mindfully Resisting the Bandwagon – IT Implementation and Its Consequences in the Financial Crisis
(2013)
Although the ”financial meltdown” between 2007 and 2009 can be substantially attributed to herding behaviour in the subprime market for credit default swaps, a “mindless” IT implementation of participating financial services providers played a major role in the facilitation of the underlying bandwagon. The problem was a discrepancy between two core complementary capabilities: (1.) the (economic-rationalistic) ability to execute financial transactions (to comply with the herd) in milliseconds and (2.) the required contextualized mindfulness capabilities to comprehend the implications of the transactions being executed and the associated IT innovation decisions that enabled these transactions.
Stability maintenance at the grassroots: China’s weiwen apparatus as a form of conflict resolution
(2013)
This working paper explores the history and potential of “stability maintenance” (weiwen) as a form of conflict resolution in China. Its emphasis on conflict resolution is novel. Previous examinations of the weiwen apparatus have concentrated on its political function, namely to manage resistance within society and maintain the authority of the party-state. This avenue of investigation has proved fruitful as a means of characterising the political motivation and the higher-level strategies involved in stability maintenance. Nonetheless, there remain significant conceptual and empirical gaps relating to how stability maintenance offices and processes actually function, particularly out of larger cities and at local levels. The research described in this paper aims to consider the effectiveness of stability maintenance as a part of the “market” for conflict resolution in local China, and to test the hypothesis that conflict resolution as facilitated by weiwen is the most pragmatic and effective means of actually resolving conflicts in the current Chinese political context, notwithstanding the closeness of the stability maintenance discourse to state authority and its relative distance from rule of law-based methods of dispute resolution...
We consider an economy where individuals privately choose effort and trade competitively priced securities that pay off with effort-determined probability. We show that if insurance against a negative shock is sufficiently incomplete, then standard functional form restrictions ensure that individual objective functions are optimized by an effort and insurance combination that is unique and satisfies first- and second-order conditions. Modeling insurance incompleteness in terms of costly production of private insurance services, we characterize the constrained inefficiency arising in general equilibrium from competitive pricing of nonexclusive financial contracts.
Obgleich Staaten im Kontext asymmetrischer Konflikte prinzipiell danach streben, nicht-staatlichen Gewaltakteuren Anerkennung und Legitimität vorzuenthalten, wird dieser Doktrin des Nicht-Dialogs weltweit zunehmend zuwider gehandelt. Der Doktrin der Nicht-Anerkennung steht eine Praxis der internationalen, politischen Anerkennung solcher Gruppen entgegen. Doch welchen Einfluss haben die Nicht-Anerkennung und die von internationalen Drittparteien gewährte Anerkennung auf die Gewaltanwendung nicht-staatlicher Gewaltakteure? Die Geschichte der palästinensischen Widerstandsgruppen Fatah (1962 bis 1993) und Hamas (1987 bis 2008) eignet sich, diesen Fragen auf den Grund zu gehen, da sie durch Akte der Anerkennung und Nicht-Anerkennung einerseits und Prozesse der Eskalation und De-Eskalation andererseits geprägt ist. Es zeigt sich, dass eine Strategie der graduellen Anerkennung unter bestimmten Bedingungen zur De-Eskalation nicht-staatlicher Gewalt beitragen kann.
On July 4, 2013 the ECB Governing Council provided more specific forward guidance than in the past by stating that it expects ECB interest rates to remain at present or lower levels for an extended period of time. As explained by ECB President Mario Draghi this expectation is based on the Council’s medium-term outlook for inflation conditional on economic activity and money and credit. Draghi also stressed that there is no precise deadline for this extended period of time, but that a reasonable period can be estimated by extracting a reaction function. In this note, we use such a reaction function, namely the interest rate rule from Orphanides and Wieland (2013) that matches past ECB interest rate decisions quite well, to project the rate path consistent with inflation and growth forecasts from the survey of professional forecasters published by the ECB on August 8, 2013. This evaluation suggests an increase in ECB interest rates by May 2014 at the latest. We also use the Eurosystem staff projection from June 6, 2013 for comparison. While it would imply a longer period of low rates, it does not match past ECB decisions as well as the reaction function with SPF forecasts.
We develop a dynamic network model whose links are governed by banks' optmizing decisions and by an endogenous tâtonnement market adjustment. Banks in our model can default and engage in firesales: risk is transmitted through direct and cascading counterparty defaults as well as through indirect pecuniary externalities triggered by firesales. We use the model to assess the evolution of the network configuration under various prudential policy regimes, to measure banks' contribution to systemic risk (through Shapley values) in response to shocks and to analyze the effects of systemic risk charges. We complement the analysis by introducing the possibility of central bank liquidity provision.