726 research outputs found

    Consumindo microsserviços rest em um simulador web para bovinos de corte em sistemas pecuários de ciclo completo.

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    Resumo.Fernando Flores Cardoso, Daniel Portella Montardo, José Carlos Ferrugem Moraes, Marcos Flávio Silva Borba, Sandro da Silva Camargo, editores técnicos

    On Shadow-Prices of Banks in Real-Time Gross Settlement Systems

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    I model the functioning of real-time gross settlement systems for large-value interbank transfers as a linear programming problem in which queueing arrangements, splitting of payments, Lombard loans, and interbank credit exposures arise as primal solutions. Then I use the dual programming problem associated with the maximization of the total flow of payments in order to determine the shadow-prices of banks in the payment system. We use these shadow-prices to set personalized intraday monetary policies such as reserve requirements, availability of Central Bank credit to temporarily illiquid banks, extension of intraday interbank credit exposures, etc., so as to make the payment system more efficient and less costly in terms of systemic liquidity. The dual approach shows us how to make banks correctly internalize the intraday network externalities they create in the real-time gross settlement system and provides an objective standard for the daily microprudential surveillance of the payment system.

    Bank Competition, Agency Costs and the Performance of the Monetary Policy

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    This paper extends the general equilibrium literature on bank competition in order to evaluate its role on the performance of the monetary policy. A new formulation of a financial contract taking into consideration both market power by banks as well as costly state verification is proposed here. Numerical simulations with the model economy parameterized to the Brazilian case are performed. Two cases are examined: One in which the banking sector is perfectly competitive and the other one when banks have market power. The main conclusions of the paper are the following: (1) Greater competition in the loan market enhances the response of the real economy to an interest rate shock; (2) Increased competition and/or a more efficient verification technology reduce the reaction of both the default rate and of the bank interest spread to an interest rate shock; and (3) The influence of the verification technology in the economy's dynamic response is greater when banks operate under perfect competition.

    Inflation Targeting in Emerging Market Economies

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    This paper assesses inflation targeting in emerging market economies (EMEs), and develops applied prescriptions for the conduct of monetary policy and inflation-targeting design in EMEs. We verify that EMEs have faced more acute trade-offs - higher output and inflation volatility - and worse performance than developed economies. These results stem from more pronounced external shocks, lower credibility, and lower level of development of institutions in these countries. In order to improve their performance, we recommend high levels of transparency and communication with the public and the development of more stable institutions. At an operational level, we propose a procedure that a central bank under inflation targeting can apply and communicate when facing strong supply shocks, and suggest a monitoring structure for an inflation-targeting regime under an IMF program.

    Out-Of-The_Money Monte Carlo Simulation Option Pricing: the join use of Importance Sampling and Descriptive Sampling

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    As in any Monte Carlo application, simulation option valuation produces imprecise estimates. In such an application, Descriptive Sampling (DS) has proven to be a powerful Variance Reduction Technique. However, this performance deteriorates as the probability of exercising an option decreases. In the case of out of the money options, the solution is to use Importance Sampling (IS). Following this track, the joint use of IS and DS is deserving of attention. Here, we evaluate and compare the benefits of using standard IS method with the joint use of IS and DS. We also investigate the influence of the problem dimensionality in the variance reduction achieved. Although the combination IS+DS showed gains over the standard IS implementation, the benefits in the case of out-of-the-money options were mainly due to the IS effect. On the other hand, the problem dimensionality did not affect the gains. Possible reasons for such results are discussed.

    Comment on Market Discipline and Monetary Policy by Carl Walsh

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    This paper aims at correcting flaws in the way expectations are set in a paper by Walsh (2000) in order to assess with precision the impact of complex market rigidities and market expectations in the optimal choices of inflation in a monetary game between society and central bankers. After setting the expectations right, one of the results achieved indicates that the optimal inflation under any type of central banker is higher than that obtained in the original paper, suggesting that the time inconsistency phenomenon plays a more important role in explaining an inflationary bias than originally interpreted by Walsh (2000). However, if society organizes itself towards shorter tenure wage contracts, inflation will be lower. The results obtained for the output gap of the economy also differ from those achieved by Walsh in the sense that a central banker who is highly committed to previously announced inflation targets will have more opportunities to generate output growth above equilibrium rates and still commit. Finally, the stability of the premises regarding the contractual structure of the economy proposed by Walsh is tested under a game theoretic approach. The outcome of the test is that stability can be guaranteed only under strong assumptions and high symmetry in the sectoral distribution of firms. By using a social welfare function in which price surprises in any direction lead to welfare loss, the results indicate that society is better off by choosing longer tenure wage contracts, moving away from shorter tenure ones, at the cost of higher inflation.

    Interdependence and Contagion: an Analysis of Information Transmission in Latin America's Stock Markets

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    This paper brings evidences about the hypotheses of financial crisis contagion over Latin American stock markets in the 90's using a multivariate GARCH model. Beside the traditional volatility structure, we added a leverage term like GJR framework in order to avoid problems due to the use of conditional correlation as a measure of relationship between stock markets. The results show the existence of contagion only during the Asian (1997) and the Russian (1998) crises. The consequences of the Brazilian crisis (1999) can be identified as a result of interdependence among Latin American markets, while the crises of Mexico (1994) and Argentina (2001) show a specific mechanism of propagation. This result raises questions about the "contagion" and "interdependence" concepts' adequacy for the analysis of information transmission among stock markets.

    Judicial Risk and Credit Market Performance: Micro Evidence from Brazil Payroll Loans

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    A large body of literature has stressed the institution-development nexus as critical in explaining differences in countries' economic performance. The empirical evidence, however, has been mainly at the aggregate level, associating macro performance with measures of quality of institutions. This paper, by relating a judicial decision on the legality of payroll debit loans in Brazil to bank-level decision variables, provides micro evidence on how creditor legal protection affects market performance. Payroll loans are personal loans with principal and interests payments directly deducted from the borrowers' payroll check, which, in practice, makes a collateral out of future income. In June 2004, a high-level federal court upheld a regional court ruling that had declared payroll deduction illegal. Using personal loans without payroll deduction as a control group, we assess whether the ruling had an impact on market performance. Evidence indicates that it had an adverse impact on risk perception, interest rates, and amount lent.

    A New Proposal for Collection and Generation of Information on Financial Institutions' Risk: the case of derivatives

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    This article aims at providing a new alternative for the collection of information on risks taken by financial institutions, which enables the calculation of risk tools usually used in risk management, such as VaR and stress tests. This approach should help risk managers, off-site supervision and academics in assessing the potential risks in financial institutions principally due to derivatives positions. The basic idea, for linear financial instruments, like the traditionally used by the management risk systems, is to reduce positions in risk factors and then mapping by vertices. For the nonlinear financial instruments all of the positions in different types of options – European, Americans, exotic, etc.– are represented as plain vanilla European options or replicated by portfolios of plain vanilla European options. The methodology was applied to Brazil, within the worst scenarios during the period from 1994 to 2004, and the paper demonstrates that the proposed approach captured the risks satisfactorily in the analyzed portfolios, including the risk existent in the strategies involving options, given an accepted error margin. This approach could be useful for regulators, risk managers; financial institutions and risk management modeling as it can be used as an input in general risk management models.
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