Simple agent-based dynamical system models for efficient financial markets: Theory and examples

We propose an agent-based framework, based on simple piecewise linear time-invariant continuous-time dynamical systems models, as a means for describing efficient financial markets. We show by examples that many of the common agent-specific trading strategies occurring in the academic literature, including chartists and fundamentalists of various kinds, can be described in the proposed framework. We present definitions for weak and strong market efficiency and provide necessary and sufficient conditions for them to hold. We present minimal examples of strongly and weakly efficient markets to show that these concepts are natural and easy to satisfy in agent-based models, and that the models can reproduce both statistical and behavioral stylized facts of real markets. We provide examples to demonstrate that the framework can be extended for agents with delays in information processing, as well as for agents with time-varying strategies and for nonlinear market impact functions. We also provide a counterexample to show that the proposed market efficiency concepts may require modification in generalizations for nonlinear trading strategies.     

Urban economic base as a catalyst for movements in real estate prices

We examine the relation between housing prices in an MSA and its urban economic base. We create and employ new forward-looking employment growth indices that measure the urban economic strength of an MSA and find that it accounts for a significant and sizeable portion of the house price movements in that MSA. We argue that the forward looking measure is an indicator of future agglomeration growth for the MSAs. We further partition the urban economic growth into growth by various industries and track the attribution of their growth to housing prices over time. We find that for some MSAs, home prices are driven by the same set of industries over time, whereas for others, home prices are driven by a totally new set of industries in the later quarters, due to the birth of new industries. We also analyze the impact of the diversification of an urban economic base on home price volatility and observe that diversification decreases home price volatility. The result has larger implications for urban policymakers in selecting the appropriate type of industries relative to their existing mix of industries.     

MULTIVARIATE VOLATILITY MODELING OF ELECTRICITY FUTURES

We model the dynamic volatility and correlation structure of electricity futures of the European Energy Exchange index. We use a new multiplicative dynamic conditional correlation (mDCC) model to separate long‐run from short‐run components. We allow for smooth changes in the unconditional volatilities and correlations through a multiplicative component that we estimate nonparametrically. For the short‐run dynamics, we use a GJR‐GARCH model for the conditional variances and augmented DCC models for the conditional correlations. We also introduce exogenous variables to account for congestion and delivery date effects in short‐term conditional variances. We find different correlation dynamics for long‐ and short‐term contracts and the new model achieves higher forecasting performance compared \to a standard DCC model. Copyright © 2012 John Wiley & Sons, Ltd.     

Some strange properties of panel data estimators

We study the biases that are likely to arise in practice with panel data when parameters vary across individuals, but this is not allowed for in estimation. We consider both stationary and non-stationary regressors. We find that biases can be severe for relatively small parameter variation, and that this problem is hard to detect. We study in some detail by Monte-Carlo the performance of the Anderson-Hsiao estimator in the presence of this particular mis-specification.     

Voting between tax regimes to fund a public good

We study experimentally how taxpayers choose between an income tax and a commodity tax to fund a public good. We implement conditions such that a rational and self-interested subject would prefer the commodity-tax regime. We find that voters overwhelmingly support the income-tax regime. We discuss and evaluate empirically alternative behavioral accounts to explain voting behavior. We find that inequality aversion and efficiency concerns matter for voting. We find no evidence for opportunism or for cognitive ability to affect voting.     

The effect of integration policies on the time until regular employment of newly arrived immigrants: Evidence from Denmark

We analyse the effect of active labour-market programmes on the hazard rate into regular employment for newly arrived immigrants using the timing-of-events duration model. We take account of language course participation and progression in destination country language skills. We use rich administrative data from Denmark. We find substantial lock-in effects of participation in active labour-market programmes. Post programme effects on the hazard rate to regular employment are significantly positive for wage subsidy programmes, but not for other types of programmes. For language course participants, improvement in language proficiency has significant and substantial positive effects on the hazard rate to employment.     

Volatile multinationals? Evidence from the labor demand of German firms

Does more FDI make the world a riskier place for workers? We analyze whether an increase in multinational firms' activities is associated with an increase in firm-level employment volatility. We use a firm-level dataset for Germany which allows us to distinguish between purely domestic firms, exporters, domestic multinationals and foreign multinationals. Employment in multinationals could be more volatile than employment in domestic firms if multinationals were facing more volatile demand or if they react more to aggregate developments. We therefore decompose the labor demand of firms into their reaction and their exposure to aggregate developments. We find no above-average wage and output elasticities for multinational firms.     

Simple Identification and Specification of Cointegrated Varma Models

We bring together some recent advances in the literature on vector autoregressive moving‐average models, creating a simple specification and estimation strategy for the cointegrated case. We show that in this case with fixed initial values there exists a so‐called final moving‐average representation. We prove that the specification strategy is consistent. The performance of the proposed method is investigated via a Monte Carlo study and a forecasting exercise for US interest rates. We find that our method performs well relative to alternative approaches for cointegrated series and methods which do not allow for moving‐average terms. Copyright © 2014 John Wiley & Sons, Ltd.     

An efficient nonparametric estimator for models with nonlinear dependence

We provide a convenient econometric framework for the analysis of nonlinear dependence in financial applications. We introduce models with constrained nonparametric dependence, which specify the conditional distribution or the copula in terms of a one-dimensional functional parameter. Our approach is intermediate between standard parametric specifications (which are in general too restrictive) and the fully unrestricted approach (which suffers from the curse of dimensionality). We introduce a nonparametric estimator defined by minimizing a chi-square distance between the constrained densities in the family and an unconstrained kernel estimator of the density. We derive the nonparametric efficiency bound for linear forms and show that the minimum chi-square estimator is nonparametrically efficient for linear forms.     

Do European capital flows comove?

We study the cross-section correlations of net, total, and disaggregated capital flows for the major source and recipient European Union countries. We seek evidence of changes in these correlations since the introduction of the euro to understand whether the European Union can be considered a unique entity with regard to its international capital flows. We make use of Ng’s (2006) “uniform spacing” methodology to rank cross-section correlations and to shed light on potential common factors driving international capital flows. We find that a common factor structure is suitable for equity flows disaggregated by sign but not for net and total flows. We only find mixed evidence that correlations between types of flows have changed since the introduction of the euro.     

The relationship between power and level for generic unit root tests in finite samples

We show that the maximum power of a generic unit root test against any stationary alternative is equal to the true level of the test. We then use Monte Carlo methods to investigate the implications for several such tests. We show patterns of rejection probabilities over a variety of unit root and stationary processes. We discuss the implications of these results for some of the uses of unit root tests in applied work.     

Panel data models with spatially correlated error components

In this paper we consider a panel data model with error components that are both spatially and time-wise correlated. The model blends specifications typically considered in the spatial literature with those considered in the error components literature. We introduce generalizations of the generalized moments estimators suggested in Kelejian and Prucha (1999. A generalized moments estimator for the autoregressive parameter in a spatial model. International Economic Review 40, 509–533) for estimating the spatial autoregressive parameter and the variance components of the disturbance process. We then use those estimators to define a feasible generalized least squares procedure for the regression parameters. We give formal large sample results for the proposed estimators. We emphasize that our estimators remain computationally feasible even in large samples.     

Hierarchical Modelling of Disparities in Preferences for Redistribution*

We evaluate the magnitude of the disparities in the demand for redistribution across European countries and American states during the 2000s. Modelling the demand for redistribution in a multilevel framework, we identify the determinants that contribute the most in predicting support for redistribution. We observe that individual characteristics and contextual variables are associated with demand for redistribution in the same way in Europe and in the US, whereas others exert different influences on the probability of supporting redistribution. We find important differences from some well‐established evidence obtained from data collected for the 1980s and the 1990s.     

How important is family background for labor-economic outcomes?

This paper uses Swedish register data to examine four classical outcomes in empirical labor economics: IQ, noncognitive skills, years of schooling and long-run earnings. We estimate sibling correlations – and the variance components that define the sibling correlation – in these outcomes. We also estimate correlations for MZ-twins, who share all genes. We also extend the variance-component decomposition by accounting for birth order. We find that conventional intergenerational approaches severely underestimate the role of family background, and that future research should follow a more multidimensional approach to the study of family background.     

Selling goods of unknown quality: forward versus spot auctions

We consider an environment where the sale can take place so early that both the seller and potential buyers have the same uncertainty about the quality of the good. We present a simple model that allows the seller to offer the good for sale before or after this uncertainty is resolved, namely via forward auction or spot auction, respectively. We solve for the equilibrium of these two auctions and then compare the resulting expected revenues. We also consider the revenue implications of insurance in forward auctions.     

Micro versus macro cointegration in heterogeneous panels

We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where each unit cointegrates. We derive asymptotic properties of the aggregate estimate, and necessary and sufficient conditions for cointegration to hold in the aggregate relationship. We then analyze the case when cointegration does not carry through the aggregation process, and we investigate whether the violation of the formal conditions for perfect aggregation can still lead to an aggregate equation that is observationally equivalent to a cointegrated relationship. We derive a measure of the degree of noncointegration of the aggregate relationship and we explore its asymptotic properties. We propose a valid bootstrap approximation of the test. A Monte Carlo exercise evaluates size and power properties of the bootstrap test.     

Relief aid stocking decisions under bilateral agency cooperation

We aim to quantify the benefits of cooperation between humanitarian relief agencies in terms of stocking decisions. We consider two agencies that stock the same type of relief item at different locations prone to individual disaster risks and agree to transship the shortage amount from available stocks in case of a disaster. We incorporate the disaster risk to the Newsvendor model by conditioning the stock quantity decisions on the event that a major disaster occurs within the lifetime of the stocked relief item. We optimize the stock quantity for each agency in response to the other's quantity and compute a Nash Equilibrium solution numerically. We apply this game theoretic approach to the case of earthquake preparedness in Istanbul to optimize the stocking decisions of an agency for shelter units in cooperation with another agency. We investigate the characteristics of the solutions under various parameter settings and identify cases in which cooperation may be beneficial to one or both of the agencies.     

Forecasting with news sentiment: Evidence with UK newspapers

We investigate the performance of newspapers for forecasting inflation, output and unemployment in the United Kingdom. We concentrate on whether the economic policy content reported in popular printed media can improve on existing point forecasts. We find no evidence supporting improved nowcasts or short-term forecasts for inflation. The sentiment inferred from printed media, can however be useful for forecasting unemployment and output. Considerable improvements are also noted when using individual newspapers and keyword based indices.     

The Role of Built,Human, Social,and Natural Capital in Determining Land Values,and the Influence of Demographics upon this Relationship

Abstract

We use various statistical methods to compare the extent to which different households are willing to invest in and pay for access to four types of capital—built, human, natural, and social. We further assess to what extent such preferences can be predicted by a measure of neighbourhood demographics. We develop indicators for each of the four types of capital at the census block group level for Baltimore, MD, USA. We use analysis of variance to examine differences in these indicators between demographic groups and multiple linear regression to examine the influence on unimproved land values of the four types of capital.     

The effects of age and family constraints on gender hiring discrimination: A field experiment in the French financial sector

Using correspondence testing, we investigate whether age and family constraints have an effect on the gender gap in access to job interviews. We sent job applications from three pairs of candidates to the same job advertisements in the French financial sector between January and March 2002, focusing on low-skilled administrative or commercial jobs and high-skilled administrative or commercial jobs. Within each pair, the applicants' characteristics were similar except for gender. We compare the gender gap in access to job interviews for single and childless applicants aged 25 and 37. We find significant hiring discrimination against women aged 25 applying for high-skilled administrative jobs. Young men are preferred to young women when employers offer long-term contracts. Among single and childless applicants aged 37, we find no significant hiring discrimination against women. We then compare the gender job-access gap for applicants aged 37 who are single and childless or married with three children. We do not find significant hiring discrimination against female applicants aged 37.