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Non-Classical Measures of Investment Risk on the Market of Precious Non-Ferrous Metals Using the Methodology of Stable Distributions 基于稳定分布方法的贵重有色金属市场投资风险的非经典度量
Pub Date : 2012-12-09 DOI: 10.12775/DEM.2012.006
Dominik Krężołek
The aim of this article is to present some non-classical risk measures which are commonly used in financial investments, including investments in assets from the market of precious non-ferrous metals. The time series of log-returns of gold, silver, platinum and palladium prices are considered. To properly asses the investment risk the measures based on Value-at-Risk methodology have been used (the VaR estimation approach based on values from the tail of the distribution). Additionally, the measure comparing expected profits to expected losses from the opposite tails distribution has been shown – the Rachev ratio. It was assumed that the log-returns of presented assets belong to the family of stable distributions. The results confirm the validity of the use of stable distributions to asses the risk on the precious non-ferrous metals market.
本文的目的是介绍金融投资中常用的一些非经典风险措施,包括投资于有色金属市场的资产。考虑了黄金、白银、铂和钯价格的对数回报时间序列。为了正确评估投资风险,使用了基于风险价值方法的措施(基于分布尾部值的VaR估计方法)。此外,从相反的尾部分布中比较预期利润和预期损失的度量——拉切夫比率。假设呈递资产的对数收益属于稳定分布族。研究结果证实了用稳定分布来评价有色贵金属市场风险的有效性。
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引用次数: 9
The Formula of Unconditional Kurtosis of Sign-Switching GARCH(p,q,1) Processes 符号交换GARCH(p,q,1)过程的无条件峰度公式
Pub Date : 2012-12-09 DOI: 10.12775/DEM.2012.007
Joanna Górka
In the paper we argue that a general formula for the unconditional kurtosis of sign-switching GARCH(p,q,k) processes proposed by Thavaneswaran and Appadoo (2006) does not give correct results. To show that we revised the original theorem given by Thavaneswaran and Appadoo (2006) for the special case of the GARCH(p,q,k) process, i.e. GARCH(p,q,1). We show that the formula for the unconditional kurtosis basing on the original theorem and the revised version is different.
在本文中,我们认为Thavaneswaran和Appadoo(2006)提出的符号转换GARCH(p,q,k)过程无条件峰度的一般公式不能给出正确的结果。对于GARCH(p,q,k)过程的特殊情况,即GARCH(p,q,1),我们对Thavaneswaran和Appadoo(2006)给出的原定理进行了修正。我们证明了基于原定理的无条件峰度公式与修正后的无条件峰度公式是不同的。
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引用次数: 0
The Probability of Recession in Poland Based on the Hamilton Switching Model and the Logit Model 基于Hamilton切换模型和Logit模型的波兰经济衰退概率分析
Pub Date : 2012-12-09 DOI: 10.12775/DEM.2012.005
Milda Maria Burzała
W wielu krajach brakuje wypracowanego systemu oznaczania początku i konca kryzysu. W proponowanej metodzie periodyzacji kazda z czterech faz aktywności gospodarczej opisywana jest przez koniunkcje wartości rocznych i miesiecznych indeksow produkcji przemyslowej. Analitycy rynku zwracają szczegolną uwage na zroznicowanie zachowania sie wiekszości wskaźnikow makroekonomicznych w czasie spadkow i dlugookresowego wzrostu. W związku z tym uzasadnione jest zalozenie o zmieniających sie parametrach modeli opisujących ksztaltowanie sie tych wielkości. Realizacje takiego zalozenia umozliwiają zarowno modele przelącznikowe, jak i modele logitowe. W badaniach empirycznych przeprowadzono porownanie prawdopodobienstwa wystąpienia kryzysu z obu modeli Analiza wynikow pokazuje duze podobienstwo wskazan z zaproponowanej metody periodyzacji i modelu Hamiltona. Model Hamiltona w prezentowanej wersji dobrze opisuje prawdopodobienstwo wystąpienia dwoch faz spadkowych. Model logitowy pozwala na uzyskanie zadawalających rezultatow dla podzialu bardziej szczegolowego. Na gruncie gospodarki polskiej nalezy jednak w dalszym ciągu prowadzic badania nad rozpoznaniem wlasności symptomatycznych roznych wskaźnikow makroekonomicznych.
在许多国家,缺乏一个完善的系统来识别危机的开始和结束。在所提出的周期化方法中,经济活动的四个阶段中的每一个阶段都由工业生产的年值和月指数的条件来描述。市场分析师特别关注大多数宏观经济指标在下跌和长期增长期间的不同行为。因此,假设描述这些量形成的模型的参数变化是合理的。交换机模型和登录模型都使这种基础的实现成为可能。对结果的分析表明,所提出的周期化方法和Hamilton模型具有很强的相似性。汉密尔顿模型在所提出的版本中很好地描述了两个下降阶段发生的概率。日志记录模型可以为更详细的分布获得令人满意的结果。但是,应当继续以波兰经济为基础,研究承认各种宏观经济指标的症状性质。
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引用次数: 0
“Does It Take Volume to Move the EUR/PLN FX Rates?” Evidence from Quantile Regressions “欧元/兹罗提汇率变动需要成交量吗?”分位数回归的证据
Pub Date : 2012-12-09 DOI: 10.12775/DEM.2012.003
K. Bień-Barkowska
This study investigates the impact of trading volume on selected quantiles of the EUR/PLN return distribution. Empirical results obtained with the quantile regression approach confirm that an increase in the turnover is associated with a significant increase in the dispersion of the corresponding return distribution. We divided the trading volume into its expected (antici-pated) and unexpected (unanticipated) component and found that the unexpected volume shocks have a significantly larger impact on the dispersion of the return distribution. We also observed that the volume-return relationship is nonlinear; the dependence is stronger with more extreme quantiles. Moreover, after accounting for a conditional volatility measure as a controlling explan-atory factor for the quantile dynamics, the impact of the expected volume declines yet remains significant especially for the most extreme quantiles.
本研究调查了交易量对欧元/兹罗提回报分布的选定分位数的影响。用分位数回归方法获得的实证结果证实,周转率的增加与相应回报分布的离散度显著增加有关。我们将交易量分为预期(已预期)和未预期(未预期)两部分,发现未预期的交易量冲击对收益分布的分散性有显著较大的影响。我们还观察到体积-回报关系是非线性的;分位数越极端,依赖性越强。此外,在考虑了条件波动率作为分位数动态的控制解释因素后,预期交易量下降的影响仍然很大,特别是对于最极端的分位数。
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引用次数: 1
Identification of the Structures of Spatial and Spatio- Temporal Processes and a Problem of Data Aggregation 时空过程结构的识别与数据聚合问题
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.001
E. Szulc
The paper concerns the measurement of the dependence between economic spatial and also spatiotemporal processes at various levels of data aggregation. The considerations refer to the investigations confirming efficiency of the so-called quasi-congruent spatial model as a tool of the measurement of the dependence between economic processes. The main problem of the paper is to discuss such a description of the spatial and spatio-temporal connections, which would be adequate to express the autodependence of the investigated processes. The application of the economic distance, which characterizes the similarity of the regions on the ground of the values of the analyzed processes, is proposed.
本文研究了在不同数据聚集水平上经济空间过程和时空过程之间的依赖度量。这些考虑是指调查证实了所谓的准全等空间模型作为衡量经济过程之间依赖关系的工具的有效性。本文的主要问题是讨论这种空间和时空联系的描述,这将足以表达所研究过程的自依赖性。提出了经济距离的应用,它在分析过程的值的基础上表征区域的相似性。
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引用次数: 0
Information and Prediction Criteria in Selecting the Forecasting Model 选择预测模型的信息和预测标准
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.002
M. Piłatowska
The purpose of the paper it to compare the performance of both information and prediction criteria in selecting the forecasting model on empirical data for Poland when the data generating model is unknown. The attention will especially focus on the evolution of information criteria (AIC, BIC) and accumulated prediction error (APE) for increasing sample sizes and rolling windows of different size, and also the impact of initial sample and rolling window sizes on the selection of forecasting model. The best forecasting model will be chosen from the set including three models: autoregressive model, AR (with or without a deterministic trend), ARIMA model and random walk (RW) model.
本文的目的是在数据生成模型未知的情况下,比较信息标准和预测标准在选择波兰经验数据预测模型时的性能。本文将特别关注不同样本量和滚动窗增大时信息准则(AIC、BIC)和累积预测误差(APE)的演变,以及初始样本量和滚动窗大小对预测模型选择的影响。从自回归模型、AR(有或没有确定性趋势)、ARIMA模型和随机游走(RW)模型三种模型中选择最佳预测模型。
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引用次数: 4
The Impact of the Exchange Rate Dynamics on the Dependencies in Global Stock Market 汇率变动对全球股票市场依赖关系的影响
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.005
Małgorzata Doman, R. Doman
The paper addresses the question of how the exchange rate dynamics affects the analysis of linkages between national stock markets. We consider two ways of tackling the problem. The first one consists in denominating the analyzed quotations in the same currency. The second deals with a direct introducing the exchange rate into a model. Our analysis is based on the daily return series on selected stock indices from the period 1995-2010. We model the dependence structure using dynamic copulas. This allows us to separate the dynamics of dependence from the volatility dynamics.
本文讨论了汇率动态如何影响国家股票市场之间联系分析的问题。我们考虑了处理这个问题的两种方法。第一种方法是用同一种货币对分析后的报价进行计价。第二种方法是将汇率直接引入模型。我们的分析是基于1995年至2010年期间选定股票指数的日收益序列。利用动态copula对相关结构进行建模。这使我们能够从波动动态中分离出依赖动态。
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引用次数: 3
Distribution Choice for the Asymmetric ACD Models 非对称ACD模型的分布选择
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.004
K. Bień-Barkowska
In the paper, I generalize the Asymmetric Autoregressive Conditional Duration (AACD) model proposed by Bauwens and Giot (2003) with respect to the generalized gamma and the Burr distribution for an error term. I derive the log likelihood functions for the augmented models and show how to check the goodness-of-fit of the distributional assumptions with the application of the probability integral transforms proposed by Diebold, Gunther and Tay (1998). Moreover, I present an exemplary empirical application of the Asymmetric ACD model for the durations between submissions of market or best limit orders on the interbank trading platform for the Polish zloty. I test the impact of selected market microstructure factors (i.e. the bid-ask spread, volatility) on the time of order submissions.
在本文中,我推广了由Bauwens和Giot(2003)提出的关于误差项的广义伽玛和Burr分布的非对称自回归条件持续时间(AACD)模型。我推导了增广模型的对数似然函数,并展示了如何使用Diebold, Gunther和Tay(1998)提出的概率积分变换来检查分布假设的拟合优度。此外,我提出了非对称ACD模型在波兰兹罗提银行间交易平台上提交市场或最佳限价订单之间的持续时间的典型实证应用。我测试了选定的市场微观结构因素(即买卖价差,波动性)对订单提交时间的影响。
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引用次数: 6
Minimum Variance Portfolio Selection for Large Number of Stocks - Application of Time-Varying Covariance Matrices 大量股票的最小方差组合选择——时变协方差矩阵的应用
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.006
P. Fiszeder
An evaluation of the efficiency of different methods of the minimum variance portfolio selection was performed for seventy stocks from the Warsaw Stock Exchange. Eight specifications of multivariate GARCH models and six other methods were used. The application of all considered GARCH-class models was more efficient in stocks allocation than the implementation of the other analyzed methods. The simple specifications of multivariate GARCH models, whose parameters were estimated in two stages, like the DCC and CCC models were the best performing models.
以华沙证券交易所的70只股票为例,对不同最小方差组合选择方法的有效性进行了评价。使用了8种规格的多元GARCH模型和6种其他方法。所有考虑的garch类模型在股票配置中的应用都比其他分析方法的实施更有效。DCC和CCC模型等参数分两个阶段估计的简单规格多变量GARCH模型是表现最好的模型。
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引用次数: 1
Bayesian Optimal Portfolio Selection in the MSF-SBEKK Model MSF-SBEKK模型中的贝叶斯最优投资组合选择
Pub Date : 2011-12-10 DOI: 10.12775/DEM.2011.003
Anna Pajor
The aim of this paper is to investigate the predictive properties of the MSF-Scalar BEKK(1,1) model in context of portfolio optimization. The MSF-SBEKK model has been proposed as a feasible tool for analyzing multidimensional financial data (large n), but this research examines forecasting abilities of this model for n = 2, since for bivariate data we can obtain and compare predictive distributions of the portfolio in many other multivariate SV specifications. Also, approximate posterior results in the MSF-SBEKK model (based on preliminary estimates of nuisance matrix parameters) are compared with the exact ones.
本文的目的是研究MSF-Scalar BEKK(1,1)模型在投资组合优化中的预测特性。MSF-SBEKK模型已被提出作为分析多维金融数据(大n)的可行工具,但本研究考察了该模型在n = 2时的预测能力,因为对于二元数据,我们可以获得并比较许多其他多元SV规格下投资组合的预测分布。此外,将MSF-SBEKK模型的近似后验结果(基于妨害矩阵参数的初步估计)与精确结果进行了比较。
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引用次数: 0
期刊
Dynamic Econometric Models
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