Blind adaptive channel estimation for dual-rate DS/CDMA signals

This letter proposes the subspace-based blind adaptive channel estimation algorithm for dual-rate quasi-synchronous DS/CDMA systems, which can operate at the low-rate (LR) or high-rate (HR) mode. Simulation results show that the proposed blind adaptive algorithm at the LR mode has a better performance than that at the HR mode, with the cost of an increasing computational complexity.

Blind channel estimation for dual-rate DS/CDMA

This paper proposes a subspace based blind adaptive channel estimation algorithm for dual-rate DS-CDMA systems, which can operate at the low-rate (LR) or high-rate (HR) mode. Simulation results show that the proposed blind adaptive algorithm at the LR mode has a better performance than that at the HR mode, with the cost of an increased computational complexity.

Cross-country effects of regulatory capital arbitrage

One reason for the recent asset price bubbles in many developed countries could be regulatory capital arbitrage. Regulatory and legal changes can help traditional banks to move their assets off their balance sheets into the lightly regulated shadows and thus enable regulatory arbitrage through the securitized sector. This paper adopts a global vector autoregression (GVAR) methodology to assess the effects of regulatory capital arbitrage on equity prices, house prices and economic activity across 11 OECD countries/ regions. A counterfactual experiment disentangles the effects of regulatory arbitrage following a change in the net capital rule for investment banks in April 2004 and the adoption of the Basel II Accord in June 2004. The results provide evidence for the existence of an international finance multiplier, with about half of the countries overshooting U.S. impulse responses. The counterfactual shows that regulatory arbitrage via the U.S. securitized sector may enhance the cross-country reallocation of capital from housing markets towards equity markets.

Chronic limitations of neo-liberal capitalism and oligopolistic markets: an urgent case for socialized capital

Purpose – The purpose of this paper is to highlight the serious limitations of neo-liberal capitalism and urge for a shift to socialized capital before further economic deterioration leads to a succession of global conflicts. Design/methodology/approach – This conceptual paper adopts a macro perspective in presenting argument on how global, financial markets integration and capital flow liberalization have led to inadequate market and corporate governance measures. The argument is couched in a selected literature and is preceded by a proposed solution – the requirement for socialized capital. An analysis of the nature of socialized capital is outlined and the questions that require attention identified if a paradigm shift from neo-liberal capitalism is to take place. Findings – The need to urgently shift to a new philosophy of capitalism is overwhelming. Emphasized is that capital needs to adopt a socialised identity and is supported by investment horizons of 30 years or more. It is argued that non-market (e.g. state, NGOs, civil society) intervention is critical in setting appropriate frameworks within which socialized capital can operate. Research limitations/implications – This is a theoretical paper, in which questions are raised which require transparent, public debate. Originality/value – The paper presents the case for a fundamental reconsideration of present day markets, the role of capital and the influence of elites in determining the public good.

The role of rules-based compliance systems in the new EU regulatory landscape: perspectives of institutional change

Purpose The research objective of this study is to understand how institutional changes to the EU regulatory landscape may affect corresponding institutionalized operational practices within financial organizations. Design/methodology/approach The study adopts an Investment Management System as its case and investigates different implementations of this system within eight financial organizations, predominantly focused on investment banking and asset management activities within capital markets. At the systems vendor site, senior systems consultants and client relationship managers were interviewed. Within the financial organizations, compliance, risk and systems experts were interviewed. Findings The study empirically tests modes of institutional change. Displacement and Layering were found to be the most prevalent modes. However, the study highlights how the outcomes of Displacement and Drift may be similar in effect as both modes may cause compliance gaps. The research highlights how changes in regulations may create gaps in systems and processes which, in the short term, need to be plugged by manual processes. Practical implications Vendors abilities to manage institutional change caused by Drift, Displacement, Layering and Conversion and their ability to efficiently and quickly translate institutional variables into structured systems has the power to ease the pain and cost of compliance as well as reducing the risk of breeches by reducing the need for interim manual systems. Originality/value The study makes a contribution by applying recent theoretical concepts of institutional change to the topic of regulatory change uses this analysis to provide insight into the effects of this new environment

Estimation of Gaussian process regression model using probability distance measures

A new class of parameter estimation algorithms is introduced for Gaussian process regression (GPR) models. It is shown that the integration of the GPR model with probability distance measures of (i) the integrated square error and (ii) Kullback–Leibler (K–L) divergence are analytically tractable. An efficient coordinate descent algorithm is proposed to iteratively estimate the kernel width using golden section search which includes a fast gradient descent algorithm as an inner loop to estimate the noise variance. Numerical examples are included to demonstrate the effectiveness of the new identification approaches.

Feasible estimation of generalized linear mixed models (GLMM) with weak dependency between groups

This paper presents a two-step pseudo likelihood estimation technique for generalized linear mixed models with the random effects being correlated between groups. The core idea is to deal with the intractable integrals in the likelihood function by multivariate Taylor's approximation. The accuracy of the estimation technique is assessed in a Monte-Carlo study. An application of it with a binary response variable is presented using a real data set on credit defaults from two Swedish banks. Thanks to the use of two-step estimation technique, the proposed algorithm outperforms conventional pseudo likelihood algorithms in terms of computational time.

Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study

Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic relationships. The Örst reduces parameter space by imposing long-term restrictions on the behavior of economic variables as discussed by the literature on cointegration, and the second reduces parameter space by imposing short-term restrictions as discussed by the literature on serial-correlation common features (SCCF). Our simulations cover three important issues on model building, estimation, and forecasting. First, we examine the performance of standard and modiÖed information criteria in choosing lag length for cointegrated VARs with SCCF restrictions. Second, we provide a comparison of forecasting accuracy of Ötted VARs when only cointegration restrictions are imposed and when cointegration and SCCF restrictions are jointly imposed. Third, we propose a new estimation algorithm where short- and long-term restrictions interact to estimate the cointegrating and the cofeature spaces respectively. We have three basic results. First, ignoring SCCF restrictions has a high cost in terms of model selection, because standard information criteria chooses too frequently inconsistent models, with too small a lag length. Criteria selecting lag and rank simultaneously have a superior performance in this case. Second, this translates into a superior forecasting performance of the restricted VECM over the VECM, with important improvements in forecasting accuracy ñreaching more than 100% in extreme cases. Third, the new algorithm proposed here fares very well in terms of parameter estimation, even when we consider the estimation of long-term parameters, opening up the discussion of joint estimation of short- and long-term parameters in VAR models.

The implications of embodiment and Putty-Clay to economic development

In this paper we construct and analyze a growth model with the following three ingredients. (i) Technological progress is embodied. (ii) The production function of a firm is such that the firm makes both technology upgrade as well as capital and labor decisions. (iii) The firm’s production technology is putty-clay. We assume that there are disincentives to the accumulation of capital, resulting in a divergence between the social and the private cost of investment. We solve a single firm’s problem in this environment. Then we determine general equilibrium prices of capital goods of different vintages. Using these prices we aggregate firms’ decisions and construct the theoretical analogues of National Income statistics. This generates a relationship between disincentives and per capita incomes. We analyze this relationship and show the quantitative and qualitative roles of embodiment and putty-clay. We also show how the model is taken to data, quantified and used to determine to what extent income gaps across countries can be attributed to disincentives.

Como decidem os administradores financeiros sobre custo e estrutura de capital das empresas no Brasil

O trabalho teve como objetivo pesquisar o comportamento das empresas instaladas no Brasil no tocante a custo e estrutura de capital. Dentro deste objetivo buscou-se identificar quais os instrumentos teóricos que melhor descrevem este comportamento, mostrando as possíveis conexões entre o que é ensinado nas escolas e a prática empresarial. Dentre diversos resultados interessantes, um que se destaca é o referente a idéia de oportunismo na captação de recursos pelas empresas, tópico não desenvolvido na teoria financeira.

The costs of education, longevity and the poverty of nations

This paper explores the distortions on the cost of education, associated with government policies and institutional factors, as an additional determinant of cross-country income differences. Agents are finitely lived and the model takes into account life-cycle features of human capital accumulation. There are two sectors, one producing goods and the other providing educational services. The model is calibrated and simulated for 89 economies. We find that human capital taxation has a relevant impact on incomes, which is amplified by its indirect effect on returns to physical capital. Life expectancy plays an important role in determining long-run output: the expansion of the population working life increases the present value of the flow of wages, which induces further human capital investment and raises incomes. Although in our simulations the largest gains are observed when productivity is equated across countries, changes in longevity and in the incentives to educational investment are too relevant to ignore.

Welfare characterization of monetary-applied models and three implications

This paper demonstrates that the applied monetary models - the Sidrauski-type models and the cash-in-advance models, augmented with a banking sector that supplies money substitutes services - imply trajectories which are Pareto-Optimum restricted to a given path of the real quantity of money. As a consequence, three results follow: First, Bailey’s formula to evaluate the welfare cost of inflation is indeed accurate, if the longrun capital stock does not depend on the inflation rate and if the compensate demand is considered. Second, the relevant money demand concept for this issue - the impact of inflation on welfare - is the monetary base. Third, if the long-run capital stock depends on the inflation rate, this dependence has a second-order impact on welfare, and, conceptually, it is not a distortion from the social point of view. These three implications moderate some evaluations of the welfare cost of the perfect predicted inflation.

Capital humano e estrutura de capital: evidência de empresas brasileiras

Este estudo verificou conjuntamente os determinantes da estrutura de capital e o efeito do custo de capital humano na estrutura de capital das empresas brasileiras, baseando-se no modelo de Berk, Stanton e Zechner (2010). Como resultado tem-se que a remuneração dos funcionários aumenta 0,26% para cada porcentagem de aumento na alavancagem. E ainda, as empresas mais intensivas em capital remuneram melhor seus funcionários. As características individuais de CEO também é um determinante que pode influenciar o nível da alavancagem da empresa. Conjuntamente, esse estudo empírico confirma várias teorias relacionadas à estrutura de capital, tais como a de pecking order, substituição entre dívida e dividendos, correlação negativa entre risco e a alavancagem.

Um ensaio em gestão de capital de giro em micros e pequenas empresas

Este estudo investiga as diferenças na maneira como gestores administram o capital de giro nas micro e pequenas empresas. As contribuições derivadas deste estudo ampliam a literatura financeira de curto prazo em MPEs no sentido de se compreender como os itens relacionados ao construto de capital de giro se comportam numa economia emergente, com fricções de mercado severas e mutáveis e com nível de desenvolvimento financeiro distinto. Os diferentes estilos de gestão podem ocorrer em razão do impacto do desenvolvimento e profundidade do mercado financeiro e do acesso e da oferta de trade credit. Os fatores determinantes desses estilos de condução da gestão do capital de giro em micro e pequenas empresas (MPEs) são identificados e, explicados, à luz dos fundamentos das teorias de crescimento das firmas por estágios, da visão baseada em recursos, de crédito comercial, de agência e de custos de transação. Esta é uma pesquisa mista com investigação cross-section, em três etapas. Ela foi composta por um survey e por entrevistas. Os dados obtidos por meio de um survey com dirigentes de 447 MPEs dos estados de Minas Gerais e São Paulo foram analisados por técnicas multivariadas, tendo sido identificados quatro “estilos” de gestão de capital de giro, que podem ser explicados por variáveis como idade, tamanho e lucratividade da firma e as entrevistas pela análise de conteúdo. A base de dados foi tratada com técnicas multivariadas e modelagem com equações estruturais. Os resultados sugerem que dirigentes brasileiros são mais propensos a adotar controle financeiro que os dirigentes britânicos e que gestão de crédito afeta positivamente a gestão de estoque quando mediada por fundos internos. Os resultados foram comparados aos obtidos por pesquisa similar realizada com empresas do Reino Unido (Howorth e Westhead, 2003), e a evidência mostra diferenças importantes: 1) as empresas brasileiras revisam a maioria das rotinas de capital de giro com maior frequência que as britânicas; 2) as MPEs brasileiras ofertam e demandam menos crédito comercial que as britânicas. Essas diferenças podem ser explicadas, pelo menos em parte, pelo maior custo do financiamento bancário das firmas brasileiras em comparação às britânicas.

Essays on the credit channel of monetary policy: a case study for Brazil

The onset of the financial crisis in 2008 and the European sovereign crisis in 2010 renewed the interest of macroeconomists on the role played by credit in business cycle fluctuations. The purpose of the present work is to present empirical evidence on the monetary policy transmission mechanism in Brazil with a special eye on the role played by the credit channel, using different econometric techniques. It is comprised by three articles. The first one presents a review of the literature of financial frictions, with a focus on the overlaps between credit activity and the monetary policy. It highlights how the sharp disruptions in the financial markets spurred central banks in developed and emerging nations to deploy of a broad set of non conventional tools to overcome the damage on financial intermediation. A chapter is dedicated to the challenge face by the policymaking in emerging markets and Brazil in particular in the highly integrated global capital market. This second article investigates the implications of the credit channel of the monetary policy transmission mechanism in the case of Brazil, using a structural FAVAR (SFAVAR) approach. The term “structural” comes from the estimation strategy, which generates factors that have a clear economic interpretation. The results show that unexpected shocks in the proxies for the external finance premium and the credit volume produce large and persistent fluctuations in inflation and economic activity – accounting for more than 30% of the error forecast variance of the latter in a three-year horizon. Counterfactual simulations demonstrate that the credit channel amplified the economic contraction in Brazil during the acute phase of the global financial crisis in the last quarter of 2008, thus gave an important impulse to the recovery period that followed. In the third articles, I make use of Bayesian estimation of a classical neo-Keynesian DSGE model, incorporating the financial accelerator channel developed by Bernanke, Gertler and Gilchrist (1999). The results present evidences in line to those already seen in the previous article: disturbances on the external finance premium – represented here by credit spreads – trigger significant responses on the aggregate demand and inflation and monetary policy shocks are amplified by the financial accelerator mechanism. Keywords: Macroeconomics, Monetary Policy, Credit Channel, Financial Accelerator, FAVAR, DSGE, Bayesian Econometrics