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CPS1946 Jittima D. et al.
                    2) New Meters – for those meters registered from 2013 onwards
                    For Old Meters (Figure 5), findings discover that the OR of old meters
                    had  stood  over  80  percent.  Notwithstanding,  there  was  a  slightly
                    decline in OR for this group after 2016. Of this group, 8 percent of
                    residents  purchased  more  units  due  to  deteriorating  conditions  of
                    existing  buildings.  Regarding  this,  this  pattern  is  the  so-called
                    “relocation effect” of residents. Following the logic, “relocation effect”
                    has exposed some drops to the old-meter cluster.

                    For New Meters (Figure 6), it was found that the OR has continued
                    to rise yet the level is still below the old meters group. Some stylized
                    facts classified by year of registration are shown below:
                    -   For 2014, the initial OR stood at 41 percent. It took 11 months to
                       take the OR to reach 70% Threshold. This was partly due to less
                       supply launched and sluggish economic condition.
                    -   For 2015-16, the initial OR was around 39 percent and required 18-
                       22 months to achieve the Threshold. This was due to more supply
                       launched
                    -   For 2017, initial OR remained at 36 percent and it get 15 months
                       to  achieve  the  Threshold.  This  was  supported  by  economic
                       prosperity during the year compared to the two previous years.


















                d)  In this section, other indicators apart from power meters was adopted
                    to investigate some further aspects, for instance, “unsold units - stock”
                    and “time-to-go” (length of time that would take to complete the sales
                    of existing unsold units by assuming fixed supply for certain time). In
                    simple  mathematics,  an  assumption  of  sales  per  month  is  equal  to
                    average sales since the launch of projects is addressed. Relevant data
                    are supported by the Agency for Real Estate Affairs (AREA).

            From Figure 7 and 8, it is observed that there existed a condition of oversupply
            of residential units in Bangkok and its vicinity during the first half of 2018 yet


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