A Tourism Financial Conditions Index for Tourism Finance

Arbeitspapier

The paper uses monthly data on tourism related factors from April 2005 - June 2016 for Taiwan that applies factor analysis and Chang’s (2015) novel approach for constructing a tourism financial indicator, namely the Tourism Financial Conditions Index (TFCI). The TFCI is an adaptation and extension of the widely-used Monetary Conditions Index (MCI) and Financial Conditions Index (FCI) to tourism stock data. However, the method of calculation of the TFCI is different from existing methods of constructing the MCI and FCI in that the weights are estimated empirically. The empirical findings show that TFCI is statistically significant using the estimated conditional mean of the tourism stock index returns (RTS). Granger Causality tests show that TFCI shows strong feedback on RTS. An interesting insight is that the empirical results show a significant negative correlation between F1_visistors and RTS, implying that tourism authorities might promote travel by the “rich”, and not only on inbound visitor growth. The use of market returns on the tourism stock sub-index as the sole indicator of the tourism sector, as compared with the general activity of economic variables on tourism stocks, is shown to provide an exaggerated and excessively volatile explanation of tourism financial conditions.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Tinbergen Institute Discussion Paper ; No. 17-071/III

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Economic Methodology ; Financial Markets and the Macroeconomy ; Money and Interest Rates: Forecasting and Simulation: Models and Applications ; Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
• Thema: Monetary Conditions Index ; Financial Conditions Index ; Model-based Tourism Financial Conditions Index ; Unbiased Estimation

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Chang, Chia-Lin ; Hsu, Hui-Kuang ; McAleer, Michael
• Ereignis: Veröffentlichung
• (wer): Tinbergen Institute
• (wo): Amsterdam and Rotterdam
• (wann): 2017

Weitere Informationen

• Handle: http://hdl.handle.net/10419/177639
• Letzte Aktualisierung: 11.01.20252025, 05:45 MEZ