Back to results
Bibliographic record · Consultation and access
Artículo

Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015

Dagna Wleklińska · Lodz University Press · 2017

Open-access full text
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

DOAJ DOAJ Articles
Entrar por DOAJ
Main access

Open-access full text

Texto completo identificado como acceso abierto.
Open text

Summary

Descripción general del contenido del recurso.

In the face of the numerous turbulence on the global financial markets the need for a more profound look at the phenomenon of volatility transfer between different markets increases because as a consequence of this phenomenon the increase in volatility in one market may lead to the appearance of an increased volatility on another. In the case of these relationships spatial displacement can also be observed, consisting in reactions of the market in one country on the changes taking place in other markets in other countries. In this approach, the analysis is carried out on the assumption that the markets are located in a metric space, where the relationship between the variables describing these markets are the functions of the physical or more likely economic distance between them. The aim of this article is to determine whether, in the context of the phenomenon of the price volatility transfer between different assets classes, a certain spatial relationships between them could be disclosured. Subsequently, in case of occurrence of supposed dependences, an attempt to identify the possible spatial relationships between the market in one country and markets located in the neighboring countries was made. To identify the spatial relationships dynamic spatial panel models were introduced. The research includes the markets of equities, bonds and foreign exchange markets representing selected countries in Europe and Asia in the period of 2000–2015.

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Wleklińska, D. (2017). Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015. https://doi.org/10.18778/0208-6018.332.04

MLA

Wleklińska, Dagna. "Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015." 2017. https://doi.org/10.18778/0208-6018.332.04.

Chicago

Wleklińska, Dagna. 2017. "Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015.". https://doi.org/10.18778/0208-6018.332.04.

Harvard

Wleklińska, D. 2017, Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015, Lodz University Press, available at: https://doi.org/10.18778/0208-6018.332.04 [Accessed 7 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
Spatio‑Temporal Analysis of the Phenomenon of Volatility Transfer Between the Markets Representing Different Assets Classes with Regard to the Changes of the Crude Oil Prices in the Period of 2000–2015
Author / contributors
Dagna Wleklińska
Publisher
Lodz University Press
Publication year
2017
ISSN
0208-6018
ISSN
0208-6018
Language
English

Subjects

Explore related resources through these subjects.

Copied