: million baht April-June January-June 2019 2018 Variance 2019 2018 Variance MB % MB % Net profit (loss) for the period (698.1) (82.0) (616.1) (751.3) (187.2) 637.3 (824.5) (129.4) Plus: Finance Cost 429.6
excess baggage divided by RPKs. Operating performance summary for the period ended June 30, 2017 Unit: million baht April-June January-June 2017 2016 Variance 2017 2016 Variance MB % MB % Net profit (loss
period ended March 31, 2018 comprises Bangkok Airways’ financial statement and eleven subsidiaries as follows: Unit: million baht January-March 2018 2017 Variance Amount % Net profit (loss) for the period
Bangkok Airways’ financial statement and eleven subsidiaries as follows: Unit: million baht January-March 2018 2017 Variance Amount % Net profit (loss) for the period 719.3 565.0 154.3 27.3 Plus: Finance
statement for the three-month period ended March 31, 2019 comprises Bangkok Airways’ financial statement and thirteen subsidiaries as follows: Unit: million baht January-March 2019 2018 Variance Amount % Net
statement for the three-month period ended March 31, 2019 comprises Bangkok Airways’ financial statement and thirteen subsidiaries as follows: Unit: million baht January-March 2019 2018 Variance Amount % Net
Statement and Financial Statements of the 13 subsidiaries Unit: million baht January-December 2018 2017 Variance Amount % Net profit (loss) for the period 263.7 846.4 (582.6) (68.8) Plus: Finance Cost 1,874.1
. Description (THB'000) Company JAN-JUN JAN-JUN Y.2020 Y.2019 VARIANCE VARIANCE (%) Revenue from Software Subscription From Salesforce I&I GROUP PUBLIC CO.,LTD. 78,919.44 55,038.33 23,881.11 43.39% Description
as integrated a manner as possible. Divergence of Materiality Approaches: Financial materiality, Double materiality, Multi-stakeholder interpretation of materiality, or Dynamic materiality. https
., 2018; CALISKAN et al., 2020) •Naive Portfolio •Minimizes risk without sacrificing expected returns(Tang, 2003) •Optimal strategy(Bock, 2018;Brown et al., 2013;li, 2018) 6 Background(Cont.) •Mean variance