Order book approach to price impact

Buying and selling stocks causes price changes, which are described by the price impact function. To explain the shape of this function, we study the Island ECN orderbook. In addition to transaction data, the orderbook contains information about potential supply and demand for a stock. The virtual price impact calculated from this information is four times stronger than the actual one and explains it only partially. However, we find a strong anticorrelation between price changes and order flow, which strongly reduces the virtual price impact and provides for an explanation of the empirical price impact function.     

Evidence of the invisible: toward a credibility revolution in the empirical analysis of tax evasion and the informal economy

Empirical research about tax evasion and the informal economy has exploded in the past few decades, seeking to shed light on the magnitude and (especially policy) determinants of these phenomena. Quantitative information informs the analysis of policy choices, enables the testing of hypotheses about determinants of this phenomenon, and can help with the accurate construction of national income accounts. Even as empirical analysis has burgeoned, some have expressed doubts about the quality and usefulness of some prominent measures. The fact that high-quality data is elusive is neither surprising nor a coincidence. The defining characteristic of tax evasion and informal economic activity—that they are generally illegal—often renders unreliable standard data collection methods such as surveys. Unlike invisible phenomena in the natural sciences, these invisible social science phenomena are hard to measure because of choices made by individuals. Analysis of tax evasion and the informal economy must proceed even in the absence of the direct observability of key variables, and theory should guide the construction and interpretation of evidence of the “invisible.” In this paper, we address what can be learned using micro or macro data regarding tax evasion and the informal economy under given conditions and assumptions, and critically review some of the most common empirical methods in light of our conclusions. We conclude with an entreaty for researchers in this field to enlist in the “credibility revolution” (Angrist and Pischke in J. Econ. Perspect. 4(2):3–30, 2010) in applied econometrics.     

A Proposal to Improve U.S. Housing Market Incentives: A Response to the Federal Reserve White Paper of January 2012

The U.S. housing finance market has not yet recovered from the housing price bubble that peaked in late 2006. Even though prices have fallen significantly, there are still problems in clearing the market. For the last few years, a group of financial economists and practitioners who are part of the Financial Management Association's Practitioner Demand Driven Academic Research Initiative (PDDARI) have been studying the collapse of the housing market and have concluded that many market participants still have insufficient (and in some cases the wrong) incentives to take actions that would help restore the market's health. In January 2012, Ben Bernanke, Chairman of the Federal Reserve Board, released a white paper that reviewed current housing market conditions and created a framework for policy analysis designed to help reestablish the health of the U.S. housing market as part of the broader effort to foster economic recovery. Using this framework as its starting point, the PDDARI group has come up with a set of proposals whose centerpiece is an “incentive‐compatible” mortgage that encourages homeowners to rebuild their home equity as an essential step to a housing recovery. By incorporating “price appreciation rights” that would provide stronger inducements for lenders or mortgage owners to make loan modifications (particularly, forgiveness of principal), the PDDARI mortgage structure could allow more homeowners to remain in their homes and avoid foreclosures and the large associated deadweight costs (as much as 40% of a home's assessed value). Additionally, the government‐sponsored enterprises, including Fannie Mae and Freddie Mac, are also in need of radical reform, and a transition toward greater private market participation would promote the long‐term health of the mortgage market.     

Gas storage valuation under limited market liquidity: an application in Germany

Natural gas storages may be valued by applying real options theory. However, it is crucial to take into account that most evolving gas markets, like the German spot market, lack liquidity. This implies that large-scale operation of storages reduces the achievable operating margin since storage operators will pay higher prices for injected gas and earn less on withdrawn gas. Optimal storage operation will take this into account. In this context, considering storage operators as price takers does not account for interdependencies of storage operations and market prices. This paper offers a novel approach to storage valuation taking into account the effect of management decisions on market prices. The methodology proposed within this paper determines the optimal production schedule and value by determining the stochastic differential equation describing the storage value and then applying a finite difference scheme. We find that limited liquidity lowers the storage value and reduces withdrawal and injection amounts. Further, we observe decreasing reservation prices for injection and withdrawing for growing illiquidity resulting in a left shift of injection and withdrawing threshold prices.     

The acerbity of the social: how to include the social in governmental risk assessments

This paper addresses the expansion of risk practices through a case study of a government led project in Sweden purposed to develop a method to include social events in mandatory risk practices. Social heterogeneity was to be transformed into straightforward causality in order to turn the social into a manageable object. In this regard, the project was quite successful. By inviting social scientists into the process, otherwise often marginalized within risk practice, causality and quantifiable risk factors could be established and the model became a rigorous and legitimate scientific model. Although experts were granted significant autonomy and became experts far beyond their own area of expertise, the success of the model lies rather in allowing experts authority within confined boundaries. Grand narratives and critical perspectives are disregarded as too abstract and if social scientists are to infuse aspects of social critique they must adapt to these circumstances: they must become instrumentalists.     

Funding Modes of German Banks: Structural Changes and their Implications

We investigate the funding modes of German banks and the implications for lending and profitability during 1992–2002. We find that at many banks, deposits from customers decrease in relative terms while interbank liabilities increase as a source of funding. We cannot detect a negative impact of the relative decline in deposits on lending. The decreasing ability of banks to collect deposits and the substitution of deposits by interbank liabilities unfavorably affects the net interest result of banks that exhibit a deposit deficit, especially savings banks. Our findings indicate a structural lengthening of the intermediation chain, which has broader implications for the functioning and stability of the financial system.     

The demand for organic foods in the South of Italy: A discrete choice model

This paper analyses organic food consumer’s demand that can help advising on implementing organic food policies at European level or, for a particular European country. In particular, it investigates the main factors explaining organic food demand in the South of Italy. Following the Lancaster consumer’s demand theory we assume that consumer’s utility depends on product characteristics instead of the product itself. Thus, consumers will choose the product (organic versus conventional) that possesses the combination of attributes that maximises its utility. Consumer’s choice for organic foods is analysed within the random utility discrete choice model and a bivariate probit model has been specified. The data were collected through a questionnaire conducted in the Italian region of Campania (Naples) in 2003. Findings indicate that economic factors are still factors limiting the growth of organic demand in Europe. Moreover, the consumers’ perceived benefits of organic food (environmental and health) are factors promoting organic food demand. In addition, greater information on organic food products is crucial to expand its demand in the South of Italy because this information will increase the consumer’s organic knowledge. Then, higher organic knowledge will increase the probability to buy organic foods and, to a larger extent, the level of consumption among existing consumers.