Author: Massimiliano Marcellino
Publisher:
ISBN:
Category : Invariants
Languages : en
Pages : 43
Book Description
Some Temporal Aggregation Issues in Empirical Analysis
Author: Massimiliano Marcellino
Publisher:
ISBN:
Category : Invariants
Languages : en
Pages : 43
Book Description
Publisher:
ISBN:
Category : Invariants
Languages : en
Pages : 43
Book Description
Some Temporal Aggregation Issues in Empirical Analysis
Author: Massimiliano Giuseppe Marcellino
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
We derive the generating mechanism of a temporally aggregated process when the original one belongs to the ARMA class. We then study the effects of temporal aggregation on a set of characteristics of usual interest such as exogeneity, causality, cointegration and common features. An empirical example illustrates the main issues.
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Book Description
We derive the generating mechanism of a temporally aggregated process when the original one belongs to the ARMA class. We then study the effects of temporal aggregation on a set of characteristics of usual interest such as exogeneity, causality, cointegration and common features. An empirical example illustrates the main issues.
Temporal Specification Issues in Applied Econometric Modelling
Author: Cezary Aleksander Kapuscinski
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 706
Book Description
Publisher:
ISBN:
Category : Econometric models
Languages : en
Pages : 706
Book Description
Temporal Aggregation and Related Problems in Multivariate Time Series Analysis
Author: Ceylan Yozgatligil
Publisher:
ISBN: 9781109933444
Category : Statistics
Languages : en
Pages : 225
Book Description
The time series data used are generally sums over time of data generated more frequently than the reporting interval. In this research, we focused on the effect of temporal aggregation on a vector autoregressive moving average (VARMA) model structure, a cointegration relationship, the causality, and multiplicative seasonal VARMA processes.
Publisher:
ISBN: 9781109933444
Category : Statistics
Languages : en
Pages : 225
Book Description
The time series data used are generally sums over time of data generated more frequently than the reporting interval. In this research, we focused on the effect of temporal aggregation on a vector autoregressive moving average (VARMA) model structure, a cointegration relationship, the causality, and multiplicative seasonal VARMA processes.
Temporal Aggregation, the Data Interval Bias and Empirical Estimation of Bimonthly Relations from Annual Data
Author: Frank Myron Bass
Publisher:
ISBN:
Category : Advertising
Languages : en
Pages : 44
Book Description
Publisher:
ISBN:
Category : Advertising
Languages : en
Pages : 44
Book Description
Temporal Aggregation and Risk-Return Relation
Author: Xing Jin
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Book Description
The function form of a linear intertemporal relation between risk and return is suggested by Merton's (1973) analytical work for instantaneous returns, whereas empirical studies have examined the nature of this relation using temporally aggregated data, i.e., daily, monthly, quarterly, or even yearly returns. Our paper carefully examines the temporal aggregation effect on the validity of the linear specification of the risk-return relation at discrete horizons, and on its implications on the reliablility of the resulting inference about the risk-return relation based on different observation intervals. Surprisingly, we show that, based on the standard Heston's (1993) dynamics, the linear relation between risk and return will not be distorted by the temporal aggregation at all. Neither will the sign of this relation be flipped by the temporal aggregation, even at the yearly horizon. This finding excludes the temporal aggregation issue as a potential source for the conflicting empirical evidence about the risk-return relation in the earlier studies.
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Book Description
The function form of a linear intertemporal relation between risk and return is suggested by Merton's (1973) analytical work for instantaneous returns, whereas empirical studies have examined the nature of this relation using temporally aggregated data, i.e., daily, monthly, quarterly, or even yearly returns. Our paper carefully examines the temporal aggregation effect on the validity of the linear specification of the risk-return relation at discrete horizons, and on its implications on the reliablility of the resulting inference about the risk-return relation based on different observation intervals. Surprisingly, we show that, based on the standard Heston's (1993) dynamics, the linear relation between risk and return will not be distorted by the temporal aggregation at all. Neither will the sign of this relation be flipped by the temporal aggregation, even at the yearly horizon. This finding excludes the temporal aggregation issue as a potential source for the conflicting empirical evidence about the risk-return relation in the earlier studies.
Population, Place, and Spatial Interaction
Author: Rachel S. Franklin
Publisher: Springer Nature
ISBN: 9811392315
Category : Business & Economics
Languages : en
Pages : 277
Book Description
This volume is devoted to the geographical—or spatial—aspects of population research in regional science, spanning spatial demographic methods for population composition and migration to studies of internal and international migration to investigations of the role of population in related fields such as climate change and economic growth. If spatial aspects of economic growth and development are the flagship of the regional science discipline, population research is the anchor. People migrate, consume, produce, and demand services. People are the source and beneficiaries of national, regional, and local growth and development. Since the origins of regional science, demographic research has been at the core of the discipline. Contributions in this volume are both retrospective and prospective, offering in their ensemble an authoritative overview of demographic research within the field of regional science.
Publisher: Springer Nature
ISBN: 9811392315
Category : Business & Economics
Languages : en
Pages : 277
Book Description
This volume is devoted to the geographical—or spatial—aspects of population research in regional science, spanning spatial demographic methods for population composition and migration to studies of internal and international migration to investigations of the role of population in related fields such as climate change and economic growth. If spatial aspects of economic growth and development are the flagship of the regional science discipline, population research is the anchor. People migrate, consume, produce, and demand services. People are the source and beneficiaries of national, regional, and local growth and development. Since the origins of regional science, demographic research has been at the core of the discipline. Contributions in this volume are both retrospective and prospective, offering in their ensemble an authoritative overview of demographic research within the field of regional science.
Essays on Panel and Nonlinear Time Series Analysis
Author: Namwon Hyung
Publisher:
ISBN:
Category : Interest rates
Languages : en
Pages : 260
Book Description
Publisher:
ISBN:
Category : Interest rates
Languages : en
Pages : 260
Book Description
The Problem of Temporal Aggregation in Judgemental Time Series Forecasting
Author: Hoon Chae
Publisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 268
Book Description
Publisher:
ISBN:
Category : Forecasting
Languages : en
Pages : 268
Book Description
Three Issues of Temporal Aggregation
Author: Ka Sing Man
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 322
Book Description
Publisher:
ISBN:
Category : Economic forecasting
Languages : en
Pages : 322
Book Description