4 results on '"Time Series Factor Analysis"'
Search Results
2. Monitoring hotel performance using occupancy time-series analysis: the concept of occupancy performance space.
- Author
-
Jeffrey, Douglas and Barden, Robin R. D.
- Subjects
TIME series analysis ,OCCUPANCY rates ,HOTELS ,TOURISM ,HOTEL advertising - Abstract
Time series factor analysis is used to identify four temporal dimensions of occupancy performance in 279 English hotels over the period January 1992 to December 1994. These dimensions referred to as reference curves differentiate hotels on the basis of overall occupancy level (RC1), seasonality (RC2), long-term trend (RC3) and length of season (RC4). The reference curves are used to define the dimensions of occupancy performance space in which the 279 hotels are positioned, with the hotels differentiated by hotel situation type. It is shown that the positioning of a hotel in occupancy performance space can provide a precise and effective basis for hotel marketing. [ABSTRACT FROM AUTHOR]
- Published
- 2000
- Full Text
- View/download PDF
3. Contagion between United States and european markets during the recent crises
- Author
-
Muñoz Gracia, María del Pilar, Márquez Cebrián, Dolores, Sánchez Espigares, Josep Anton, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, and Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
- Subjects
Contagion ,Markov Switching Model ,Sequences (Mathematics) ,Time Series Factor Analysis ,Seqüències (Matemàtica) ,Matemàtiques i estadística::Matemàtica aplicada a les ciències [Àrees temàtiques de la UPC] ,62 Statistics::62D05 Sampling theory, sample surveys [Classificació AMS] ,62 Statistics::62E Distribution theory [Classificació AMS] ,Macroeconomic variables ,Distribució (Teoria de la probabilitat) ,Dynamic Conditional Correlation ,Distribution (Probability theory) ,Matemàtiques i estadística::Probabilitat [Àrees temàtiques de la UPC] ,Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant [Àrees temàtiques de la UPC] ,Sampling (Statistics) ,62 Statistics::62L Sequential methods [Classificació AMS] ,Financial Markets ,Mostreig (Estadística) - Abstract
The main objective of this paper is to detect the existence of financial contagion between the North American and European markets during the recent crises. To accomplish this, the relationships between the US and the Euro zone stock markets are considered, taking the daily equity prices of the Standard and Poor’s 500 as representative of the United States market and for the European market, the five most representative indexes. Time Series Factor Analysis (TSFA) procedure has allowed concentrating the information of the European indexes into a unique factor, which captures the underlying structure of the European return series. The relationship between the European factor and the US stock return series has been analyzed by means of the dynamic conditional correlation model (DCC). Once the DCC is estimated, the contagion between both markets is analyzed. Finally, in order to explain the sudden changes in dynamic US-EU correlation, a Markov switching model is fitted, using as input variables the macroeconomic ones associated with the monetary policies of the US as well as those related to uncertainty in the markets. The results show that there was contagion between the United States and European markets in the Subprime and Global Financial crises. The two-regime Markov switching model has helped to explain the variability of the pair-wise correlation. The first regime contains mostly the financially stable periods, and the dynamic correlations in this regime are explained by macroeconomic variables and other related with monetary policies in Europe and US. The second regime is explained mainly by the Federal Funds rate and the evolution of the Euro/US Exchange rate.
- Published
- 2011
4. Contagion between United States and european markets during the recent crises
- Author
-
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials, Muñoz Gracia, María del Pilar, Márquez Cebrián, Dolores, Sánchez Espigares, Josep Anton, Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials, Muñoz Gracia, María del Pilar, Márquez Cebrián, Dolores, and Sánchez Espigares, Josep Anton
- Abstract
The main objective of this paper is to detect the existence of financial contagion between the North American and European markets during the recent crises. To accomplish this, the relationships between the US and the Euro zone stock markets are considered, taking the daily equity prices of the Standard and Poor’s 500 as representative of the United States market and for the European market, the five most representative indexes. Time Series Factor Analysis (TSFA) procedure has allowed concentrating the information of the European indexes into a unique factor, which captures the underlying structure of the European return series. The relationship between the European factor and the US stock return series has been analyzed by means of the dynamic conditional correlation model (DCC). Once the DCC is estimated, the contagion between both markets is analyzed. Finally, in order to explain the sudden changes in dynamic US-EU correlation, a Markov switching model is fitted, using as input variables the macroeconomic ones associated with the monetary policies of the US as well as those related to uncertainty in the markets. The results show that there was contagion between the United States and European markets in the Subprime and Global Financial crises. The two-regime Markov switching model has helped to explain the variability of the pair-wise correlation. The first regime contains mostly the financially stable periods, and the dynamic correlations in this regime are explained by macroeconomic variables and other related with monetary policies in Europe and US. The second regime is explained mainly by the Federal Funds rate and the evolution of the Euro/US Exchange rate., Peer Reviewed, Postprint (published version)
- Published
- 2011
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.