Browsing by Author "Ratikorn Chuensuksomboon"
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ItemMarket employer satisfaction index of Assumption University's : graduates batch 44(Institute for Research and Academic Services, 2017-07) Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemMarket employer satisfaction index of Assumption University's : graduates batch 45(Institute for Research and Academic Services, 2018-07) Ratikorn Chuensuksomboon ; Warayuth Sriwarakuel ; Preecha Methavasaraphak
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ItemMarket employer satisfaction index of Assumption University's : graduates batch 46(Institute for Research and Academic Services, 2019-07) Ratikorn Chuensuksomboon ; Warayuth Sriwarakuel ; Preecha Methavasaraphak
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ItemMarket employer satisfaction index of Assumption University's : graduates batch 47(Institute for Research and Academic Services, 2020-05) Ratikorn Chuensuksomboon ; Warayuth Sriwarakuel ; Preecha Methavasaraphak
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ItemMarket employer satisfaction index of Assumption University's graduates: academic year 2014(Institute for Research and Academic Services, 2015) Ratikorn Chuensuksomboon ; Preecha Methavasaraphak ;
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ItemMarket employer satisfaction index of Assumption University's: graduate batch 43(Institute for Research and Academic Services, 2016) Ratikorn Chuensuksomboon ; Preecha MethavasaraphakThe research on Market Employers Satisfaction Index of Assumption University's Graduates Batch 43 aimed to study by survey method on AU's performance depend on Thailand Quality Framework of ONESQA--Market Employer. The result of this research might help AU to better know its status from the points of view of its stakeholders as well as provide a guideline to develop its weak aspects in order to be competent and excellent and to improve itself to be better known in academic industry. The results of the survey in every respondents were that the high Satisfaction in almost items and in all aspects.
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ItemSatisfaction survey on AU Uniqueness and Identity Development: academic year 2014(Institute for Research and Academic Services, 2014) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemSatisfaction survey on AU Uniqueness and Identity Development: academic year 2015(Institute for Research and Academic Services, 2015) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemSatisfaction survey on AU Uniqueness and Identity Development: academic year 2016(Institute for Research and Academic Services, 2017-05) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemSatisfaction survey on AU Uniqueness and Identity Development: academic year 2018(Institute for Research and Academic Services, 2019-05) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemSatisfaction survey on AU Uniqueness and Identity Development: academic year 2019(Institute for Research and Academic Services, 2020-05) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemSatisfaction survey on AU Uniqueness and Identity Implementation: academic year 2017(Institute for Research and Academic Services, 2018-05) Chananton Thanakultheeladit ; Ratikorn Chuensuksomboon ; Preecha Methavasaraphak
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ItemValue at risk performance in cryptocurrencies(Assumption University Press, 2018) Danai Likitratcharoen ; Teerasak Na Ranong ; Ratikorn Chuensuksomboon ; Norrasate Sritanee ; Ariyapong PansriwongDue to conclusion could not rely on only one test, in this study, we apply various approaches to verify the actuary of VaR model to find out whether VaR model, especially historical VaR and delta normal VaR model, can provide the accura te risk measurement results for cryptocurrencies risk , especially CRIX, BTC, ETH and XRP . We use Kupiec’s POF test, Independence Test - Christoffersen (1998) and Joint Test that widely use for backtesting VaR model. Performance test results for risk measurem ent by historical VaR provide a fairly accurate over delta normal VaR when we use Kupiec’s POF - test for the accuracy of VaR model. Christoffersen (1998) independence test, the exceptions (failures) of historical VaR and delta normal VaR model show independ ence exceptions in accordance with an only high confidence level of critical values (0.99). Otherwise , the low confidence level of critical values (0.90 and 0.95) appears dependence exceptions. For the Joint test, we combine POF - test and independence test because each model has different advantages and disadvantages. The results show that historical VaR model is suitable for measuring cryptocurrency risk over delta normal VaR only high confidence level of critical values.