returns are fitted using GJR-t-GARCH models and then analysed using time-varying conditional copulas to ascertain if tail dependence exists. The study tests a number of well-known copulas, i.e., Gaussian
132.95 10% 104.83 8% Investment in associated company 454.39 33% 483.96 36% Property, plant and equipment 564.29 42% 558.59 42% Biological assets – dairy cow 44.44 3% 44.28 3% Others 40.42 3% 61.09 4
% 474.65 37% Property, plant and equipment 547.60 43% 557.68 45% Biological assets – dairy cow 41.59 3% 38.56 3% Others 56.43 4% 52.82 4% Total assets 1,290.14 100% 1,252.38 100% Total assets were Baht
546.99 43% 557.68 45% Biological assets – dairy cow 42.98 3% 38.56 3% Others 70.25 6% 52.82 4% Total assets 1,270.66 100% 1,252.38 100% Total assets were Baht 1,270.66 million, increasing from the year
% 557.68 45% Biological assets – dairy cow 44.64 3% 38.56 3% Others 72.59 6% 52.82 4% Total assets 1,311.73 100% 1,252.38 100% Total assets were Baht 1,311.73 million, increasing from the year 2016, amount
% 557.68 45% Biological assets – dairy cow 44.64 3% 38.56 3% Others 72.59 6% 52.82 4% Total assets 1,311.73 100% 1,252.38 100% Total assets were Baht 1,311.73 million, increasing from the year 2016, amount
% Investment in associated company 483.96 36% 474.65 7% Property, plant and equipment 558.59 42% 557.68 5% Biological assets – dairy cow 44.28 3% 38.56 3% Others 61.09 4% 52.82 4% Total assets 1,345.45 100
, or 15.23%. The increases of the cost of sales and service were due to more sales volume; as well as more depreciation caused by the investment in machinery to improve production efficiency, reduce cost
sales volume; as well as more depreciation caused by the investment in machinery to improve production efficiency, reduce cost of production in the future, and support more sales volume in the future
notifies us in advance as deemed appropriate before such revision becomes effective, we agree to abide by the revised Standard Procedures or the Manuals as well. 1 . 2 We acknowledge and agree that upon