De lo micro a lo macro prudencial: Un análisis de la supervisión bancaria desde la econometría espacial

La crisis que se desató en el mercado hipotecario en Estados Unidos en 2008 y que logró propagarse a lo largo de todo sistema financiero, dejó en evidencia el nivel de interconexión que actualmente existe entre las entidades del sector y sus relaciones con el sector productivo, dejando en evidencia la necesidad de identificar y caracterizar el riesgo sistémico inherente al sistema, para que de esta forma las entidades reguladoras busquen una estabilidad tanto individual, como del sistema en general. El presente documento muestra, a través de un modelo que combina el poder informativo de las redes y su adecuación a un modelo espacial auto regresivo (tipo panel), la importancia de incorporar al enfoque micro-prudencial (propuesto en Basilea II), una variable que capture el efecto de estar conectado con otras entidades, realizando así un análisis macro-prudencial (propuesto en Basilea III).

Modelación estocástica y trading algorítmico del spread entre acciones mediante procesos de reversión a la media

Las estrategias de inversión pairs trading se basan en desviaciones del precio entre pares de acciones correlacionadas y han sido ampliamente implementadas por fondos de inversión tomando posiciones largas y cortas en las acciones seleccionadas cuando surgen divergencias y obteniendo utilidad cerrando la posición al converger. Se describe un modelo de reversión a la media para analizar la dinámica que sigue el diferencial del precio entre acciones ordinarias y preferenciales de una misma empresa en el mismo mercado. La media de convergencia en el largo plazo es obtenida con un filtro de media móvil, posteriormente, los parámetros del modelo de reversión a la media se estiman mediante un filtro de Kalman bajo una formulación de estado espacio sobre las series históricas. Se realiza un backtesting a la estrategia de pairs trading algorítmico sobre el modelo propuesto indicando potenciales utilidades en mercados financieros que se observan por fuera del equilibrio. Aplicaciones de los resultados podrían mostrar oportunidades para mejorar el rendimiento de portafolios, corregir errores de valoración y sobrellevar mejor periodos de bajos retornos.

Detecting intraday periodicities with application to high frequency exchange rates

Many recent papers have documented periodicities in returns, return volatility, bid–ask spreads and trading volume, in both equity and foreign exchange markets. We propose and employ a new test for detecting subtle periodicities in time series data based on a signal coherence function. The technique is applied to a set of seven half-hourly exchange rate series. Overall, we find the signal coherence to be maximal at the 8-h and 12-h frequencies. Retaining only the most coherent frequencies for each series, we implement a trading rule that is based on these observed periodicities. Our results demonstrate in all cases except one that, in gross terms, the rules can generate returns that are considerably greater than those of a buy-and-hold strategy, although they cannot retain their profitability net of transactions costs. We conjecture that this methodology could constitute an important tool for financial market researchers which will enable them to detect, quantify and rank the various periodic components in financial data better.

Tests of non-linearity using LIFFE futures transactions price data

This paper presents and implements a number of tests for non-linear dependence and a test for chaos using transactions prices on three LIFFE futures contracts: the Short Sterling interest rate contract, the Long Gilt government bond contract, and the FTSE 100 stock index futures contract. While previous studies of high frequency futures market data use only those transactions which involve a price change, we use all of the transaction prices on these contracts whether they involve a price change or not. Our results indicate irrefutable evidence of non-linearity in two of the three contracts, although we find no evidence of a chaotic process in any of the series. We are also able to provide some indications of the effect of the duration of the trading day on the degree of non-linearity of the underlying contract. The trading day for the Long Gilt contract was extended in August 1994, and prior to this date there is no evidence of any structure in the return series. However, after the extension of the trading day we do find evidence of a non-linear return structure.

The productivity and performance of Australia’s major banks since deregulation

The aim of this study is to present some measures of the performance of banks operating in Australia since the deregulation of the Australian financial system in early 1980s; including the periods of financial market instability (the early 1990s and mid to late 2000s). In undertaking this measurement two approaches will be used. The first simply applies standard financial indicators. The second approach applies data envelopment analysis (DEA), to determine Malmquist indices of the levels of and the changes in the efficiency and productivity of Australian banks. The empirical results demonstrate the effect of deregulation and periodic financial crisis’s on the performance of individual banks, and the major part of the Australian banking sector. Overall the productivity performance of the Australian banks tended to improve considerably in those periods of strongest economic growth (i.e. the mid 1980s and 2000s).

Board committee meetings and firm financial performance : an investigation of Australian companies

This article examines how the frequency of board committee meetings impacts on Australian firms’ financial performance. Data were collected from 118 Australian listed companies – including 26 financial firms and 92 nonfinancial firms – for the period 1999–2007. Analysis of that data shows that the frequencies of audit committee meetings and remuneration committee meetings are positively and significantly associated with return on equity and return on assets. The frequencies of risk committee meetings do not show any significant effects on the financial performance of Australian firms. Estimated results are found to be robust after controlling for internal as well as external governance mechanisms that might affect Australian firm performance.

The relationship between labour market conditions and welfare receipt in Australia: A stock-flow analysis

Understanding the determinants of changes in welfare caseloads is an important, but little studied, topic in Australia. This paper evaluates the role of labour market conditions in explaining the changes in the Australian welfare caseload since the late 1990s. The paper employs a stock-flow approach to better control for persistence in welfare receipt and includes different specifications to deal with measurement error in labour market data. The results suggest that the labour market is an important determinant of movements on and off welfare, accounting for the majority of the caseload decline during 1997-2005. The results also highlight the importance of robustness checks when data are measured with error.

Electricity load and price forecasting with influential factors in a deregulated power industry

With the emergence of smart power grid and distributed generation technologies in recent years, there is need to introduce new advanced models for forecasting. Electricity load and price forecasts are two primary factors needed in a deregulated power industry. The performances of the demand response programs are likely to be deteriorated in the absence of accurate load and price forecasting. Electricity generation companies, system operators, and consumers are highly reliant on the accuracy of the forecasting models. However, historical prices from the financial market, weekly price/load information, historical loads and day type are some of the explanatory factors that affect the accuracy of the forecasting. In this paper, a neural network (NN) model that considers different influential factors as feedback to the model is presented. This model is implemented with historical data from the ISO New England. It is observed during experiments that price forecasting is more complicated and hence less accurate than the load forecasting.

Mortgage-Backed Securities (MBS): Is It a Curse or a Blessing for the Australian Home Loan Market? A Natural Experiment

The Australian home loan market has seen a significant and persistent boom over more than two decades. Theextant literature exploring the underlying factors explaining this boom has predominantly looked at thedemand side rather than the supply side. In this paper, we look at a major supply-side issue, the introductionof mortgage-backed securities and its likely impact on the home loan market. In doing so, we have developeda mathematical model that theorises this likely relationship. Our mathematical model predicts possibleexistence of an unstable equilibrium in the home loan market in the presence of mortgage-backed securities.We have subsequently backed up our theoretical exercise with sound empirical evidence acquired andanalysed as a natural experiment in the Australian scenario using quarterly market data on home loans andmortgage-backed securities data for a 36-year period from 1976 to 2012. Using unknown structural breaktests, we have identified significant breaks around late 1992 to mid-1995, clearly indicating that there weresignificant changes in the housing market due to the introduction of mortgage-backed securities in early1993. We have also performed a stability test confirming that under certain conditions this market canbecome unstable.

Testing for stock return predictability in a large Chinese panel

This paper proposes a simple panel data test for stock return predictability that is flexible enough to accommodate three key salient features of the data, namely, predictor persistency and endogeneity, and cross-sectional dependence. Using a large panel of Chinese stock market data comprising more than one million observations, we show that most financial and macroeconomic predictors are in fact able to predict returns. We also show how the extent of the predictability varies across industries and firm sizes.

Asymmetric risk and return: evidence from the Australian Stock Exchange

This paper examines volatility asymmetry in a financial market using a stochastic volatility framework. We use the MCMC method for model estimations. There is evidence of volatility asymmetry in the data. Our asymmetric stochastic volatility in mean model, which nests both asymmetric stochastic volatility (ASV) and stochastic volatility in mean models (SVM), indicates ASV sufficiently captures the risk-return relationship; therefore, augmenting it with volatility in mean does not improve its performance. ASV fits the data better and yields more accurate out-of-sample forecasts than alternatives. We also demonstrate that asymmetry mainly emanates from the systematic parts of returns. As a result, it is more pronounced at the market level and the volatility feedback effect dominates the leverage effect.

Risco operacional - modelos de alocação de capital aplicados aos bancos no Brasil

Nos últimos tempos, mensurar o Risco Operacional (RO) tornou-se o grande desafio para instituições financeiras no mundo todo, principalmente com a implementação das regras de alocação de capital regulatório do Novo Acordo de Capital da Basiléia (NACB). No Brasil, ao final de 2004, o Banco Central (BACEN) estabeleceu um cronograma de metas e disponibilizou uma equipe responsável pela adaptação e implementação dessas regras no sistema financeiro nacional. A Federação de Bancos Brasileiros (FEBRABAN) também divulgou recente pesquisa de gestão de RO envolvendo vários bancos. Todo esse processo trouxe uma vasta e crescente pesquisa e atividades voltadas para a modelagem de RO no Brasil. Em nosso trabalho, medimos o impacto geral nos banco brasileiros, motivado pelas novas regras de alocação de capital de RO envolvendo os modelos mais básicos do NACB. Também introduzimos um modelo avançado de mensuração de risco, chamado Loss Data Distribution (LDA), que alguns especialistas, provenientes do Risco de Mercado, convencionaram chamar de Value-at-Risk Operacional (VaR Operacional.). Ao final desse trabalho apresentamos um caso prático baseado na implementação do LDA ou VaR

Previdência complementar no Brasil : análise do impacto da legislação na alocação de ativos entre 2003 e 2005

This work aims to identify the impacts brought about by legislation alterations regarding assets allocation by Pension Funds Companies. Focused on that, this work carried on a detailed review on the existing literature concerning Modern Portfolio Theory, Pension Funds Investment Strategies and on Brazilian Legislation for Financial Market and Pension Funds. On a second moment, the work identified asset allocation differences when comparing national financial market players and the data released by the official Social Security Secretary - SPC - regarding the 35 Pension Funds analyzed. In accordance with what the literature indicates, the work also reveals that Pension Funds pursue asset allocation policies different than those adopted by other market players due to the Fund¿s long term investment characteristics. No major impacts were identified on the legislation issued by the National Monetary Council ¿ CMN - in what it concerns asset allocation and impacts were only identified on the legislation regarding - CPMF - taxes on financial operations - which led Pension Funds to allocate expressive part of their assets on investment funds.

Previdência complementar no Brasil : análise do impacto da legislação na alocação de ativos entre 2003 e 2005

This work aims to identify the impacts brought about by legislation alterations regarding assets allocation by Pension Funds Companies. Focused on that, this work carried on a detailed review on the existing literature concerning Modern Portfolio Theory, Pension Funds Investment Strategies and on Brazilian Legislation for Financial Market and Pension Funds. On a second moment, the work identified asset allocation differences when comparing national financial market players and the data released by the official Social Security Secretary ¿ SPC ¿ regarding the 35 Pension Funds analyzed. In accordance with what the literature indicates, the work also reveals that Pension Funds pursue asset allocation policies different than those adopted by other market players due to the Fund¿s long term investment characteristics. No major impacts were identified on the legislation issued by the National Monetary Council ¿ CMN - in what it concerns asset allocation and impacts were only identified on the legislation regarding ¿CPMF¿ ¿ taxes on financial operations ¿ which led Pension Funds to allocate expressive part of their assets on investment funds