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1.
《International Journal of Forecasting》2019,35(4):1669-1678
We estimate a Bayesian VAR (BVAR) for the UK economy and assess its performance in forecasting GDP growth and CPI inflation in real time relative to forecasts from COMPASS, the Bank of England’s DSGE model, and other benchmarks. We find that the BVAR outperformed COMPASS when forecasting both GDP and its expenditure components. In contrast, their performances when forecasting CPI were similar. We also find that the BVAR density forecasts outperformed those of COMPASS, despite under-predicting inflation at most forecast horizons. Both models over-predicted GDP growth at all forecast horizons, but the issue was less pronounced in the BVAR. The BVAR’s point and density forecast performances are also comparable to those of a Bank of England in-house statistical suite for both GDP and CPI inflation, as well as to the official Inflation Report projections. Our results are broadly consistent with the findings of similar studies for other advanced economies. 相似文献
2.
An ad hoc rule is often required when modelling trade in multi-country models to ensure that aggregate imports equal aggregate exports in volumes and values. This paper offers an approach that offers some advantages over current methods. 相似文献
3.
The main objective of this paper is to use the Markov regime‐switching modelling framework to describe and analyse the credibility of a number of countries participating in the European Monetary System during 1980–1998. Our credibility indicator, based on Hughes Hallet et al.'s (1997) methodology, is subject to discrete regime shifts and is made dependent on macroeconomic fundamentals. We carry out extensive testing to assess the specification of the Markov regime‐switching model and the potential existence of permanent breaks. A contribution of our paper is the specification of a multivariate Markov switching model that allows us to examine whether macroeconomic variables have asymmetric effects on credibility. Another contribution is the specification of a regime‐switching model with time‐varying transition probabilities, which enables us to determine whether changes in macroeconomic variables can trigger switches between the low and high credibility regimes. We find strong evidence of regime switching behaviour in all countries. Both the level of credibility and the transition probabilities display an asymmetric response to changes in macroeconomic variables, with the stance of fiscal policy exerting the most systematic influence in all countries. 相似文献
4.
In the presented text the authors judge the importance of statistics in the monetary policy of the Czech National Bank (CNB) over the course of the economic transformation process, with particular consideration of changing statistical needs and the possibilities and limits of statistical data exploitation in the monetary analyses. The importance of statistics lies on the level of collection and processing of statistical information and on the level of use of statistical methods to analyse data. Since the start of the 1990s the requirements for statistics were significantly influenced by monetary policy. In the period 1990–1997, monetary targeting was the primary influential factor. Since 1998, the monetary policy is influenced by inflation targeting. Statistical priorities switched from monetary data to economy and financial market data. Much progress has been made in the use of statistical methods for analysing data. Statistics available at present cover the CNB's standard monetary-policy requirements and are on par with those in developed countries. Its further development will reflect the standard changes taking place in the more advanced countries. 相似文献
5.
Manfen W. Chen Rohan Christie-David William T. Moore 《Journal of Regulatory Economics》2007,31(3):289-312
We hypothesize that the firm’s regulatory environment influences the sensitivity of its equity value to information. Using
intraday stock price data of utilities operating in differing regulatory environments we test for systematic differences between
the responsiveness of stock prices of utility firms operating in deregulated and regulated environments to a common information
set. Our findings reveal sharp differences in responses, with those of utilities operating in deregulated environments the
strongest, and the responses of utilities in highly regulated environments the weakest. While the evidence supports our hypothesis,
in a broader sense, the evidence suggests that deregulation aids in the process of price discovery. We also find evidence
that suggests that deregulation, per se, does not lead to higher stock price volatility.
相似文献
6.
The Bank of England first acquired a macroeconomic model of the UK economy in early 1973, and used it for forecasting in June and July of that year. The initial model was obtained from the London Business School (LBS), but the last 14 years or so have, on the part of both the Bank and the LBS, led to developments which now make the models no closer to each other than to other large scale models of the UK. This article describes the structure and central properties of the current version of the Bank model, which has some 663 variables, 134 of which are modelled by behavioural equations, 153 by technical equations, 212 identities and 164 exogenous variables. In order to provide a transitional step between the kind of models with which most macroeconomists are familiar and the full scale version of the Bank model, one part of the article presents a very simple stylized version of the full model. This is a stepping stone to the full model which is described and analysed on a sectoral basis in Part 3, with a complete listing of equations in Part 4. Some of the simulation properties, and hence full model dynamic responses, are considered in Part 5. 相似文献
7.
Macroeconomic forecasting using structural factor analysis 总被引:1,自引:0,他引:1
The use of a small number of underlying factors to summarize the information from a much larger set of information variables is one of the new frontiers in forecasting. In prior work, the estimated factors have not usually had a structural interpretation and the factors have not been chosen on a theoretical basis. In this paper we propose several variants of a general structural factor forecasting model, and use these to forecast certain key macroeconomic variables. We make the choice of factors more structurally meaningful by estimating factors from subsets of information variables, where these variables can be assigned to subsets on the basis of economic theory. We compare the forecasting performance of the structural factor forecasting model with that of a univariate AR model, a standard VAR model, and some non-structural factor forecasting models. The results suggest that our structural factor forecasting model performs significantly better in forecasting real activity variables, especially at short horizons. 相似文献
8.
We investigate the effects of IMF stabilization programs, and the reasons behind the unusually high IMF activity and relatively low program completion rates in Latin America. We base our tests on a panel, and distinguish between IMF program approvals and completion. We find that Latin America has higher output costs of IMF programs (especially when completed), no improvement in the current account, and a much higher likelihood of program failure and recidivism than other regions. The common finding that entering into an IMF-supported program incurs real short-run costs on the economy is entirely driven by the experiences in Latin America. 相似文献
9.
This paper presents a integrated credit risk modelling approach for private firms which fulfil 2001 Basel Accord requirements
in the case of the adoption of the foundation approach. Our model comprises: (a) a bottom-up technique to initially assess
the through-the-cycle one-year Probability of Default (PD) and (b) a top-down approach to refine and calibrate this historical
PD in a forward-looking credit risk assessment based on next year’s economic outlook. We present findings from applying this
model to a large sample of client firms of the Bank of Rome. 相似文献
10.
金融开放视角下宏观经济波动问题研究——以东亚国家(地区)为例 总被引:2,自引:0,他引:2
20世纪80年代以来,东亚地区金融市场的开放推动了资本在国际间的大规模流动,大量的国际资本在促进东亚经济增长的同时,也埋下了经济波动的隐患。结合东亚经济体的实际特点,本文采用Aghion等(2004)提出的动态开放经济模型来分析金融开放对东亚不同类型国家(地区)经济波动的影响,并利用东亚国家(地区)的面板数据对模型的结论进行实证检验。研究发现,由于国内金融体系发展程度的差异,金融开放对于东亚不同类型经济体产生的影响不同,金融开放缓解了东亚发达经济体的经济波动,但加剧了发展中国家的经济波动。随着金融开放程度的不断提高,东亚的发展中国家要加快推进国内的金融体系建设,以降低国际资本流动对宏观经济稳定的冲击。 相似文献