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Bayesian analysis of structural correlated unobserved components and identification via heteroskedasticity 结构相关未观测成分的贝叶斯分析及异方差鉴定
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-06-03 DOI: 10.1515/snde-2020-0027
Mengheng Li, Ivan Mendieta‐Muñoz
Abstract We propose a structural representation of the correlated unobserved components model, which allows for a structural interpretation of the interactions between trend and cycle shocks. We show that point identification of the full contemporaneous matrix which governs the structural interaction between trends and cycles can be achieved via heteroskedasticity. We develop an efficient Bayesian estimation procedure that breaks the multivariate problem into a recursion of univariate ones. An empirical implementation for the US Phillips curve shows that our model is able to identify the magnitude and direction of spillovers of the trend and cycle components both within-series and between-series.
摘要我们提出了相关未观测成分模型的结构表示,该模型允许对趋势和周期冲击之间的相互作用进行结构解释。我们证明,控制趋势和周期之间结构相互作用的全同期矩阵的点识别可以通过异方差实现。我们开发了一种有效的贝叶斯估计程序,将多变量问题分解为单变量问题的递归。美国-菲利普斯曲线的实证实施表明,我们的模型能够识别序列内和序列间趋势和周期成分的溢出幅度和方向。
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引用次数: 1
Frontmatter Frontmatter
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-06-01 DOI: 10.1515/snde-2021-frontmatter3
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引用次数: 0
The co-integration of CDS and bonds in time-varying volatility dynamics: do credit risk swaps lower bond risks? CDS和债券在时变波动动力学中的共同整合:信用风险掉期降低了债券风险吗?
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-05-03 DOI: 10.1515/snde-2019-0141
Leon Li, F. Scrimgeour
Abstract This study analyzes the co-integration relationship between sovereign bonds and credit default swaps (CDS) and then examines the impact of CDS-bond deviation from the relationship on market volatility using the Markov-switching approach. Our empirical sample consists of the daily CDS premium and bond yield spread obtained with the DataStream database for the period from 2008 to 2014. Our empirical results show that the absolute value of the CDS-bond deviation is positively related to the probability of a high volatility regime and negatively related to the probability of a low volatility regime. This result implies a positive association between the CDS-bond deviation and the volatility in the CDS-bond market. Our findings are consistent across mature-market and emerging-market countries. Moreover, the evidence we uncover suggests that the practice of managing default risk of bonds via the use of CDS may increase the interest rate risk of the bond, which implies both wins and woes from the introduction of CDS, particularly for mature-market countries.
摘要本研究分析了主权债券和信用违约掉期(CDS)之间的协整关系,然后使用马尔可夫切换方法考察了CDS债券偏离这种关系对市场波动的影响。我们的经验样本包括2008年至2014年期间使用DataStream数据库获得的每日CDS溢价和债券收益率差。我们的实证结果表明,CDS债券偏差的绝对值与高波动率制度的概率呈正相关,与低波动率制度概率负相关。这一结果意味着CDS债券偏离与CDS债券市场波动之间存在正相关。我们的研究结果在成熟市场国家和新兴市场国家都是一致的。此外,我们发现的证据表明,通过使用CDS管理债券违约风险的做法可能会增加债券的利率风险,这意味着引入CDS既有好处也有坏处,尤其是对成熟市场国家来说。
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引用次数: 2
Multivariate Markov-switching score-driven models: an application to the global crude oil market 多元马尔可夫开关分数驱动模型:在全球原油市场中的应用
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-04-28 DOI: 10.1515/snde-2020-0099
Szabolcs Blazsek, A. Escribano, Adrián Licht
Abstract A new class of multivariate nonlinear quasi-vector autoregressive (QVAR) models is introduced. It is a Markov switching score-driven model with stochastic seasonality for the multivariate t-distribution (MS-Seasonal-t-QVAR). As an extension, we allow for the possibility of having common-trends and nonlinear co-integration. Score-driven nonlinear updates of local level and seasonality are used, which are robust to outliers within each regime. We show that VAR integrated moving average (VARIMA) type filters are special cases of QVAR filters. Using exclusion, sign, and elasticity identification restrictions in MS-Seasonal-t-QVAR with common-trends, we provide short-run and long-run impulse response functions for the global crude oil market.
摘要介绍了一类新的多元非线性拟向量自回归(QVAR)模型。它是一个多变量t分布的具有随机季节性的马尔可夫切换分数驱动模型(MS-Seasonal-t-QVAR)。作为扩展,我们允许具有共同趋势和非线性协整的可能性。使用了分数驱动的局部水平和季节性的非线性更新,这对每个制度内的异常值都是鲁棒的。我们证明了VAR积分移动平均(VARIMA)型滤波器是QVAR滤波器的特殊情况。利用具有共同趋势的MS-Seasonal-t-QVAR中的排除、符号和弹性识别限制,我们为全球原油市场提供了短期和长期脉冲响应函数。
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引用次数: 7
The non-linear effects of the Fed asset purchases 美联储资产购买的非线性效应
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-04-02 DOI: 10.1515/snde-2020-0022
Alessio Anzuini
Abstract The Federal Reserve responded to the great financial crisis deploying new monetary policy tools, the most notable of which being the expansion of its balance sheet. In a recent paper, Weale, M., and T. Wieladek. 2016. “What Are the Macroeconomic Effects of Asset Purchases?” Journal of Monetary Economics 79 (C): 81–93 show that the asset purchases were effective in stimulating economic activity as well as inflation and asset prices. Here I show that their results are state dependent: large scale asset purchase are effective only when financial markets are impaired. Financial markets are under stress when the effective risk-bearing capacity of the financial sector is drastically reduced, i.e. when the excess bond premium (EBP) of Gilchrist, S., and E. Zakrajšek. 2012. “Credit Spreads and Business Cycle Fluctuations.” The American Economic Review 102 (4): 1692–72 exceed a certain threshold. Using an estimated threshold vector autoregressive model conditional on the EBP regime, I show that an increase in the balance sheet has expansionary effects on GDP and inflation when EBP is high, but not when it is low (as its effects become mostly insignificant). I argue that the high EBP can be interpreted as a proxy of market dis-functioning so that only when this channel of transmission is on, the unconventional policy is particularly effective. This suggests that models of transmission of unconventional policies, based on asset purchases, should focus also on the market functioning channel and not only on the portfolio balance one.
摘要美联储在应对大金融危机时部署了新的货币政策工具,其中最引人注目的是扩大了资产负债表。在最近的一篇论文中,Weale,M.和T.Wieladek。2016年,“资产购买的宏观经济影响是什么?”《货币经济学杂志》79(C):81-93表明,资产购买在刺激经济活动、通货膨胀和资产价格方面是有效的。在这里,我证明了他们的结果是依赖于国家的:只有当金融市场受损时,大规模资产购买才有效。当金融部门的有效风险承受能力大幅降低时,即当Gilchrist,S.和e.Zakrajšek的超额债券溢价(EBP)大幅降低时。2012年,“信贷利差和商业周期波动”,《美国经济评论》102(4):1692–72超过了一定的阈值。使用以EBP制度为条件的估计阈值向量自回归模型,我表明,当EBP高时,资产负债表的增加对GDP和通货膨胀具有扩张性影响,但当EBP低时则没有(因为其影响大多变得微不足道)。我认为,高EBP可以被解释为市场失灵的代表,因此只有当这种传播渠道打开时,非常规政策才会特别有效。这表明,基于资产购买的非常规政策传导模型也应关注市场运作渠道,而不仅仅是投资组合平衡渠道。
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引用次数: 25
Testing for stationarity with covariates: more powerful tests with non-normal errors 协变量的平稳性检验:非正态误差的更有力检验
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-03-29 DOI: 10.1515/snde-2019-0038
Ş. Nazlıoğlu, Junsoo Lee, Cagin Karul, Yu You
Abstract Previous studies suggested that the power of unit root and stationarity tests can be improved by augmenting a testing regression model with stationary covariates. However, one practical problem arises since such procedures require finding the variables that satisfy certain conditions. The difficulty of finding satisfactory covariate has hindered using such desired tests. In this paper, we suggest using non-normal errors to construct stationary covariates in testing for stationarity. We do not need to look for outside variables, but we utilize the distributional information embodied in a time series of interest. The terms driven from the information on non-normal errors can be employed as valid stationary covariates. For this, we adopt the framework of stationarity tests of Jansson (Jansson, M. 2004. “Stationarity Testing with Covariates.” Econometric Theory 20: 56–94). We show that the tests can achieve much-improved power. We then present the response surface function estimates to facilitate computing the critical values and the corresponding p-values. We investigate the nature of shocks to the US macro-economic series using the updated Nelson–Plosser data set through our new testing procedure. We find stronger evidence of non-stationarity than their univariate counterparts that do not use the covariates.
摘要以往的研究表明,单位根检验和平稳性检验的效力可以通过增加平稳协变量的检验回归模型来提高。但是,出现了一个实际问题,因为这些过程需要找到满足某些条件的变量。找到令人满意的协变量的困难阻碍了使用这种期望的检验。在本文中,我们建议在平稳性检验中使用非正态误差来构造平稳协变量。我们不需要寻找外部变量,而是利用感兴趣的时间序列中包含的分布信息。由非正态误差信息驱动的项可以用作有效的平稳协变量。为此,我们采用了Jansson (Jansson, M. 2004)的平稳性检验框架。“协变量平稳性检验”。计量经济学理论20:56-94)。我们表明,测试可以实现大大提高功率。然后,我们给出响应面函数估计,以便于计算临界值和相应的p值。我们通过新的测试程序,使用更新的Nelson-Plosser数据集调查美国宏观经济系列冲击的性质。我们发现比不使用协变量的单变量对应物更强的非平稳性证据。
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引用次数: 0
Crypto-assets portfolio selection and optimization: a COGARCH-Rvine approach 加密资产投资组合选择与优化:COGARCH-Rvine方法
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-03-26 DOI: 10.1515/snde-2020-0072
J. Mba, Sutene Mwambetania Mwambi
Abstract Blockchain is a new technology slowly integrating our economy with crytocurrencies such as Bitcoin and many more applications. Bitcoin and other version of it (known as Altcoins) are traded everyday at various cryptocurrency exchanges and have drawn the interest of many investors. These new type of assets are characterised by wild swings in prices and this can lead to great profit as well as large losses. To respond to these dynamics, crypto investors need adequate tools to guide them through their choice of optimal portfolio selection. This paper presents a portfolio selection based on COGARCH and regular vine copula which are able to capture features such as abrupt jumps in prices, heavy-tailed distribution and dependence structure respectively, with the optimal portfolio achieved through the stochastic heuristic algorithm differential evolution known for its global search solution ability. This method shows great performance as compared with other available models and can achieve up to 50% of total returns in some periods of optimization.
摘要区块链是一项新技术,它将我们的经济与比特币等加密货币以及更多应用程序缓慢地结合在一起。比特币和其他版本的比特币(称为Altcoins)每天在各种加密货币交易所进行交易,吸引了许多投资者的兴趣。这些新型资产的特点是价格剧烈波动,这可能导致巨大的利润和巨大的损失。为了应对这些动态,加密货币投资者需要足够的工具来指导他们选择最佳投资组合。本文提出了一种基于COGARCH和正则藤copula的投资组合选择方法,该方法能够分别捕捉价格突变、重尾分布和依赖结构等特征,并通过以全局搜索能力著称的随机启发式算法差分进化获得最优投资组合。与其他可用模型相比,该方法表现出良好的性能,并且在某些优化期内可以实现高达50%的总回报。
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引用次数: 1
Bayesian VARs and prior calibration in times of COVID-19 在COVID-19时期的贝叶斯var和先验校准
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-02-24 DOI: 10.2139/ssrn.3792070
Benny Hartwig
Abstract This paper investigates the ability of several generalized Bayesian vector autoregressions to cope with the extreme COVID-19 observations and discusses their impact on prior calibration for inference and forecasting purposes. It shows that the preferred model interprets the pandemic episode as a rare event rather than a persistent increase in macroeconomic volatility. For forecasting, the choice among outlier-robust error structures is less important, however, when a large cross-section of information is used. Besides the error structure, this paper shows that the standard Minnesota prior calibration is an important source of changing macroeconomic transmission channels during the pandemic, altering the predictability of real and nominal variables. To alleviate this sensitivity, an outlier-robust prior calibration is proposed.
摘要本文研究了几种广义贝叶斯向量自回归处理极端新冠肺炎观测的能力,并讨论了它们对推理和预测目的的先验校准的影响。它表明,首选模型将疫情事件解释为罕见事件,而不是宏观经济波动的持续增加。然而,对于预测,当使用大横截面的信息时,在异常值鲁棒误差结构之间的选择就不那么重要了。除了误差结构外,本文还表明,标准的明尼苏达先验校准是疫情期间宏观经济传播渠道变化的重要来源,改变了实际和名义变量的可预测性。为了减轻这种敏感性,提出了一种异常值鲁棒先验校准方法。
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引用次数: 11
Time-varying threshold cointegration with an application to the Fisher hypothesis 时变阈值协整及其在费雪假设中的应用
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-02-22 DOI: 10.1515/SNDE-2018-0101
Lixiong Yang
Abstract This paper extends the threshold cointegration model developed by Gonzalo, J., and J. Y. Pitarakis. 2006. “Threshold Effects in Cointegrating Relationships.” Oxford Bulletin of Economics & Statistics 68: 813–33 and Chen, H. 2015. “Robust Estimation and Inference for Threshold Models with Integrated Regressors.” Econometric Theory 31 (4): 778–810 to allow for a time-varying threshold, which is a function of candidate variables that affect the separation of regimes. We derive the asymptotic distribution of the proposed least-square estimator of the threshold, and study the convergence rate of the threshold estimator. We also suggest test statistics for threshold effect and threshold constancy. Monte Carlo simulations point out that the convergence rate of the threshold estimator is consistent with the asymptotic theory, and the proposed tests have good size and power properties. The empirical usefulness of the proposed model is illustrated by an application to the US data to investigate the Fisher hypothesis.
本文扩展了Gonzalo, J.,和J. Y. Pitarakis. 2006的阈值协整模型。协整关系中的阈值效应《牛津经济与统计通报》(68):813-33综合回归阈值模型的鲁棒估计与推理。计量经济学理论31(4):778-810允许一个时变的阈值,这是影响制度分离的候选变量的函数。给出了阈值最小二乘估计量的渐近分布,并研究了阈值估计量的收敛速度。我们还建议对阈值效应和阈值常数进行检验统计。Monte Carlo仿真结果表明,阈值估计器的收敛速度符合渐近理论,所提出的测试具有良好的规模和功率特性。通过对美国数据的应用来研究费雪假设,说明了所提出模型的经验有用性。
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引用次数: 3
Instability in regime switching models 状态切换模型的不稳定性
IF 0.8 4区 经济学 Q3 ECONOMICS Pub Date : 2021-02-18 DOI: 10.2139/ssrn.3788501
Pu Chen, Chih-ying Hsiao, W. Semmler
Abstract In this paper, we look at the instability of a self-exciting regime-switching autoregressive model, specifically regime-switching models that are locally stable in each of their regimes. It turns out that the local stability of each regime is insufficient to ensure the overall stability of the model. The instability’s mechanism is described, and a sufficient condition for the instability is provided.
摘要在本文中,我们研究了自激状态切换自回归模型的不稳定性,特别是在每个状态下局部稳定的状态切换模型。结果表明,每个政权的局部稳定性不足以保证模型的整体稳定性。描述了失稳的机理,并为失稳提供了充分条件。
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引用次数: 2
期刊
Studies in Nonlinear Dynamics and Econometrics
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