http://repository.rmutp.ac.th/handle/123456789/77 2025-08-27T15:17:05Z 2025-08-27T15:17:05Z สรวลสรรค์, อุมาพร มากลิ่น, ปริญญา http://repository.rmutp.ac.th/handle/123456789/1333 2021-02-11T09:12:36Z 2014-07-08T00:00:00Z

Behavior of price clustering in electronic trading transaction and block trading transaction in the Thailand Futures Exchange : Case study of SET50 Index Futures สรวลสรรค์, อุมาพร; มากลิ่น, ปริญญา This research studied behavior of price clustering in Electronic Trading Transaction and Block Trading Transaction in Thailand Futures Exchange market from SET50 Index Futures using daily closing price data of SET50 index Futures from April 28, 2006 to June 30,2012 Descriptive statistics and quantitative analysis included Chi-square to test Uniform Distribution; Hirshmann Herfindal Index(HHI) to measure price density standardized Range and Excess Clustering to measure price clustering; and Multiple Regression to test behavior of price Clustering. Results showed that the behavior of price clustering in SET50 Index Futures was characterized in the same way. That is the most frequent last two digits were 00 (32.31%) and 50 (13.82%) while other last two digits had the frequency of not greater than 8%. There was more price clustering along with the trading volume. It also found that the opening price, the bid-ask spread. And the volatility had positive impacts on price clustering while the closing price had negative impact. For the total retum, no impact was found on price clustering at the signicant level of 0.05 วารสารวิชาการและวิจัย มทร.พระนคร, 7(2) : 107-118

2014-07-08T00:00:00Z ศรีไชยวาน, สุจิดา ดอนขวา, ขวัญกมล http://repository.rmutp.ac.th/handle/123456789/1194 2021-02-11T09:20:24Z 2013-08-16T00:00:00Z

The supply chain of Ecotourism: A case study of Khaoyai National Park in Nakhon Ratchasima Province ศรีไชยวาน, สุจิดา; ดอนขวา, ขวัญกมล Strong positive correlations exist among management of upstream factors, services or midstream factors, and the level of satisfaction of tourists of downstream factors. Upstream factors have the following conelated coefficient with each of the midstream factors, respectively: 0.656 for accommodations, 0.593 for transportation, 0.610 for the handling of excursion and activities on the ground, and 0.552 for foods and crafts. Midstream factors correlate with downstream factors with a correlation coefficient of 0.815 And upstream factors have a correlated coefficient of 0.811 with downstream factors. The upstream factors of values and culture have the most direct effect on midstream factors and downstream factors. Middtream factors have the most direct effect on downstream factors by accommodation. วารสารวิชาการและวิจัย มทร.พระนคร, 7(1) : 36-47

2013-08-16T00:00:00Z