排序方式： 共有35条查询结果，搜索用时 0 毫秒
1.
FANG ZHANG 《Journal of Money, Credit and Banking》2017,49(1):215-253
The paper proposes endogenous information choice as a channel through which uncertainty affects price dynamics. I consider a rational inattention model with volatility uncertainty and endogenous information processing capability. According to the model, firms' learning and optimal attention exhibits inertia and asymmetry in response to volatility changes. Firms choose to process more information when uncertainty rises, especially about aggregate conditions, and their pricing behavior changes accordingly. Using a Markov‐switching factor‐augmented vector autoregression (MS‐FAVAR), the paper also documents a significant positive correlation between volatility and firms' responsiveness to macro‐ and microlevel shocks, consistent with model predictions. 相似文献
2.
政策不确定性的宏观经济后果 总被引：1，自引：0，他引：1
本文采取贝克的政策不确定性指数,运用FAVAR方法分析政策不确定性冲击对中国宏观经济的影响。经验结果发现,政策不确定性冲击对GDP、投资、消费、出口和价格变动会带来负向影响,导致实际有效汇率贬值,促使股票价格和房地产价格下跌。同时发现,政策不确定性作用于宏观经济的主要机制为预期渠道。该结论表明,政府应当尽量保持宏观经济政策的稳定性和持续性,并加强引导公众合理预期。 相似文献
3.
Using an Augmented Factor Vector Autoregressive (FAVAR) Model, this study analyzes spatial millet prices transmission in Niger. Our results did not find condition for millet markets integration existence. However, the Granger causality tests and impulse response functions from the estimated short‐term dynamic as FAVAR model revealed the existence of leading markets whose millet prices affect a maximum number of other regional millet prices, while some regions seem to be isolated from trade or information flows. Furthermore, the significance of a shock depends also on the characteristics of the region where it originates in terms of millet demand or supply, indicating that the region to target and where the price shock originated matter for the policies’ success. 相似文献
4.
Based on the new perspective of high-dimensional and time-varying methods, this paper analyzes the contagion effects of US financial market volatility on China’s nine financial sub-markets. The results show evidence of non-linear Granger causality from the US financial volatility (VIX) to the China’s financial markets. Increased US financial volatility has a negative next-day impact on the stock, bond, fund, interest rate, foreign exchange, industrial product and agricultural product markets, and a positive next-day impact on the gold and real estate markets. US financial volatility has the greatest impact on industrial product market, following by stock, agricultural product, fund, real estate, bond, gold, foreign exchange, and interest rates. Major risk events such as the global financial crisis can cause an enhanced contagion effect of US financial volatility to China's financial markets. This paper supports the achievements of China's actions to prevent and resolve major financial risks in the period of the COVID-19 epidemic. 相似文献
5.
Alain Kabundi Nonhlanhla Ngwenya 《The South African journal of economics. Suid-afrikaanse tydskrif vir ekonomie》2011,79(1):91-107
This paper examines the efficacy of monetary policy in the South African economy using a data‐rich framework. We use the Factor‐Augmented Vector Autoregressive (FAVAR) methodology, which contains 110 monthly variables for the period 1985:02‐2007:11. The results, based on impulse‐response functions, provide no evidence of the price puzzle observed in traditional Structural Vector Autoregressive analysis and confirm that monetary policy in South Africa is effective in stabilising prices. Unlike the traditional vector autoregressive approach, the FAVAR methodology allows further analysis of a large number of variables. Variables from real and financial variables react negatively to a contractionary monetary policy shock. Finally, we find evidence of the importance of a confidence channel transmission following a monetary policy shock. 相似文献
6.
Using the informational sufficiency procedure from Forni and Gambetti (2014) along with data from McCracken and Ng (2014), we update the results of Lee (1992) and find that his vector autoregression (VAR) is informationally deficient. To correct this problem, we estimate a factor augmented VAR (FAVAR) and analyze the differences once informational deficiency is corrected with an emphasis on the relationship between real stock returns and inflation. In particular, we examine Modigliani and Cohn's (1979) inflation illusion hypothesis, Fama's (1983) proxy hypothesis, and the “anticipated policy hypothesis.” 相似文献
7.
运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。 相似文献
8.
This paper assesses the effects of monetary policy shocks on the macroeconomy and the euro area banking sector after the global financial crisis. First, financial risk-return indicators of the banking sector based on a compound option-based structural credit risk model are embedded in a large macro-financial quarterly database covering the period 2008Q4–2019Q4. Second, a SFAVAR identifies and estimates the shocks’ responses relating them to the endogenous build-up of banks’ vulnerabilities which are consistent with the internally coherent structure of the credit risk model. By introducing structure in the understanding of banks’ asset-liability management behavior following monetary policy shocks, the research strategy contributes to disentangling results that are often mixed in the empirical literature. The study finds that unconventional monetary policy, in particular the Asset Purchase Program of the European Central Bank, seems to have been more successful than conventional monetary policy in raising output and inflation. The desired boost to bank lending has been muted and loan cyclicality has varied across countries and loan types. The performance of the banking sector following monetary policy shocks can be characterized by a drop in expected return on equity and assets, a relaxation of lending conditions and increased correlation between banks’ assets return and the market return, a mechanism pointing to enhanced risk-taking. While banks’ probabilities of default fall following monetary policy shocks, the price of risk increases. Banks’ net worth rises via higher market capitalization and implied assets value together with lower volatility, despite often incurring more debt. Risk-taking in the banking sector may pose a risk to financial stability, especially if its effects on banks’ vulnerability spread and increase systemic risk. The unintended endogenous build-up of macro-financial vulnerabilities may need to become part of monetary policymaking. 相似文献
9.
Available empirical evidence on the significance of the (micro) risk-taking channel of monetary policy is not enough to indicate a threat to financial stability. Evidence of risk-taking with systemic risk implications is necessary. Statistical measures that capture systemic risk in all its forms within a structural factor-augmented vector autoregressive model suggest that conventional and unconventional monetary policies have resulted in systemic risk-taking in the euro area banking sector. Systemic risk has taken the form of an increase in the banking sector’s vulnerability via contagion and interconnectedness. Banks’ balance sheets, however, do not account for the full transmission from (micro) risk taking to systemic risk-taking. The main policy implication is that a persistently accommodative monetary policy may drive a monetary authority with a price stability mandate to consider a possible trade-off with financial stability. At a minimum, coordination between monetary and macro-prudential policies requires serious consideration. 相似文献
10.
Fluctuation in commodity prices is a significant and timely issue to be studied. This study is to examine the impact of monetary policy and other macroeconomic shocks on the dynamics of agricultural commodity prices. The major contributions of this study are twofold. First, unlike other studies that use indexes, this study analyzes the commodities individually, affording the inclusion of commodity‐specific fundamentals such as the level of inventory—an important determinant of commodity price—in a structural VAR framework. Second, it exploits a rich data set of agricultural commodity prices which includes commodities that are usually overlooked in the literature, and extracts a common factor using the dynamic factor model to understand the extent of comovement of the prices and to gauge the extent to which macroeconomic shocks drive the “comovement” in a factor‐augmented VAR (FAVAR) framework. The findings show that monetary policy, global economic conditions, and the U.S. dollar exchange rates play an important role in the dynamics of agricultural commodity prices. 相似文献