Pub Date : 2011-06-30DOI: 10.19041/APSTRACT/2011/1-2/13
Prasert Chaitip, S. Sriboonchitta, P. Balogh, C. Chaiboonsri
There has been growing interest in studying behaviour of long memory process in tourism market. In this research examine the behaviour of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries. For example, tourists from USA, tourists from UK, tourists from Canada, tourists from Germany, tourists from France, tourists from Japan, tourists from Malaysia, tourists from Australia and tourists form Sri Lanka. Moreover, three statistical test for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to test in these markets. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India.
{"title":"On Tests For Long-Term Dependence: India’s International Tourism Market","authors":"Prasert Chaitip, S. Sriboonchitta, P. Balogh, C. Chaiboonsri","doi":"10.19041/APSTRACT/2011/1-2/13","DOIUrl":"https://doi.org/10.19041/APSTRACT/2011/1-2/13","url":null,"abstract":"There has been growing interest in studying behaviour of long memory process in tourism market. In this research examine the behaviour of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries. For example, tourists from USA, tourists from UK, tourists from Canada, tourists from Germany, tourists from France, tourists from Japan, tourists from Malaysia, tourists from Australia and tourists form Sri Lanka. Moreover, three statistical test for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to test in these markets. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India.","PeriodicalId":30097,"journal":{"name":"Annals of the University of Petrosani Economics","volume":"10 1","pages":"87-94"},"PeriodicalIF":0.0,"publicationDate":"2011-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68244763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2010-01-01DOI: 10.5089/9781589063976.069
Daniela Zapodeanu, M. Cociuba
Following the financial-economic crisis the financial systems worldwide have been subjected to enormous pressure, which called into question the need for financial system stability in general and in particular the one of the banking system. We overview the most important indicators in financial stability and we analyze the evolution of the main indicators of financial health for the Romanian banking system as a whole and for two banks, respectively BRD and Transylvania Bank . We find that banks with foreign shareholders tend to be more riskier then domestic banks, also an important role in banks stability is the presence of an institutional investor.
{"title":"Financial Soundness Indicators","authors":"Daniela Zapodeanu, M. Cociuba","doi":"10.5089/9781589063976.069","DOIUrl":"https://doi.org/10.5089/9781589063976.069","url":null,"abstract":"Following the financial-economic crisis the financial systems worldwide have been subjected to enormous pressure, which called into question the need for financial system stability in general and in particular the one of the banking system. We overview the most important indicators in financial stability and we analyze the evolution of the main indicators of financial health for the Romanian banking system as a whole and for two banks, respectively BRD and Transylvania Bank . We find that banks with foreign shareholders tend to be more riskier then domestic banks, also an important role in banks stability is the presence of an institutional investor.","PeriodicalId":30097,"journal":{"name":"Annals of the University of Petrosani Economics","volume":"10 1","pages":"365-372"},"PeriodicalIF":0.0,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70867837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2009-01-01DOI: 10.19041/APSTRACT/2009/1-2/5
P. Balogh, S. Kovács, C. Chaiboonsri, Prasert Chaitip
Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 based on the period 2002-2006. The results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1). Furthermore this method predict that international tourism arrivals to India for 2007-2010 will growth at a positive rate as same as in this during period the number of international tourists arrival to India will be 5,079,651 million, 5,652,190 million, 6,224,490 million and 6,796,990 million, respectively. If these results can be generalized for future year, then it suggests that both the India government sector and private tourism industry sector should prepare to receive increasing numbers of international tourist arrivals to India in this period.
{"title":"Forecasting with X-12-Arima: International Tourist Arrivals to India","authors":"P. Balogh, S. Kovács, C. Chaiboonsri, Prasert Chaitip","doi":"10.19041/APSTRACT/2009/1-2/5","DOIUrl":"https://doi.org/10.19041/APSTRACT/2009/1-2/5","url":null,"abstract":"Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 based on the period 2002-2006. The results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1). Furthermore this method predict that international tourism arrivals to India for 2007-2010 will growth at a positive rate as same as in this during period the number of international tourists arrival to India will be 5,079,651 million, 5,652,190 million, 6,224,490 million and 6,796,990 million, respectively. If these results can be generalized for future year, then it suggests that both the India government sector and private tourism industry sector should prepare to receive increasing numbers of international tourist arrivals to India in this period.","PeriodicalId":30097,"journal":{"name":"Annals of the University of Petrosani Economics","volume":"9 1","pages":"107-128"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68245201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The concept of crisis is very hard to define. It has its origin in the Greek word “krisis” which means the evolution stage of a situation in which a decision should be taken. This concept describes a break in the evolution of a phenomenon in which decisions are hard to take.
{"title":"The Concept of Crisis","authors":"I. Stegăroiu","doi":"10.1515/9780822372905","DOIUrl":"https://doi.org/10.1515/9780822372905","url":null,"abstract":"The concept of crisis is very hard to define. It has its origin in the Greek word “krisis” which means the evolution stage of a situation in which a decision should be taken. This concept describes a break in the evolution of a phenomenon in which decisions are hard to take.","PeriodicalId":30097,"journal":{"name":"Annals of the University of Petrosani Economics","volume":"5 1","pages":"261-266"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66814831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The budget of the European Union","authors":"Vasile Popengă, M. Popescu","doi":"10.1007/0-387-28742-6_4","DOIUrl":"https://doi.org/10.1007/0-387-28742-6_4","url":null,"abstract":"","PeriodicalId":30097,"journal":{"name":"Annals of the University of Petrosani Economics","volume":"2 1","pages":"158-164"},"PeriodicalIF":0.0,"publicationDate":"2002-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/0-387-28742-6_4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"51356633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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