Pan-Asia Catalysts/Events, Quiddity Advisors

Travis Lundy

Pan-Asia Catalysts/Events

Quiddity Advisors

Event-Driven

Hitachi Construction Machinery / Event-Driven

With a relatively full slate of large value takeovers in Developed Asia in the past year - often by parents but also by buyout funds - and the availability of significant credit to finance such takeovers, this Smartkarma Original insight looks at what constitutes an attractive target for takeover, and seeks to construct a framework for screening and filtering companies for further study. 
The filtering is conducted across two basic measures which seek to answer two basic questions:
<ol>
<li>What might supply look like?</li>
<li>What might demand look like?</li>
</ol>
The first basic problem with creating such filters is that on the Supply side, using databases to determine whether a controlling shareholder wants to sell is almost a lost cause from the beginning. But the exercise throws up some interesting case studies, and it is important to understand why such screening could lead to interesting results. 
On the demand side, it is a difficult and complicated exercise because financial data moves around, shifting through time and relative price because competitors also shift in time and price. A clear example of a company which might have been "relatively" attractive vs peers a month ago might not be after the market ructions at the end of February 2020 when this was written. Prices were, of course, lower, which means that a good screening process is dynamic, both in relative and absolute measures. It is also somewhat difficult to create a one-size-fits-all screen for attractive targets because in certain countries, certain industries (telecom, airlines, social infrastructure, defence) are covered by foreign ownership limits, other industries (banks, brokers, insurers) rarely see leveraged buyouts, and takeovers in other industries (Chinese homebuilders) are, for lack of a better word, simply off the table at certain times.
In addition, there are lots of ways in which companies might present themselves as attractive targets. If someone controls a company, and wants to sell it cheaply, there are lots of potential buyers who will fall all over themselves to get in line to buy it. But companies can be attractive targets because of the potential for changing profit metrics and multiples through restructuring, asset reorganisation, industry reorganisation, or simply waiting for the cycle to change. 
Using valuation metrics with a cutoff line can be challenging because common multiples such as PER, PCFR, PBR, EV/EBITDA may ignore significant value available from longer-term securities holdings, non-operating real estate assets which are not managed in optimal fashion, etc. 
In short, screening can only go so far. But we try.
At the end, we take a brief look at 10 companies from Developed Asia which show up as a result of our screening efforts. The resulting list is dominated by Japanese companies because some of the companies which show up from other countries fit the "no-go" categories above (airlines, financial companies, defence technology subject to foreign ownership limits, Chinese homebuilders subject to skepticism, etc.). Some are also clearly Emerging Asia businesses with Developed Asia listings. Screening for Emerging Asia got a few companies which are high on anyone's target list, including one which saw an unsolicited takeover approach earlier this week (end-Feb 2020), and another which has been in acquisition mode for years. 
We find the thinking process and screening technology has thrown up some previously less-than-obvious candidates which deserve further work.

With a relatively full slate of large value takeovers in Developed Asia in the past year - often by parents but also by buyout funds - and the availability of significant credit to finance such takeovers, this Smartkarma Original insight looks at what constitutes an attractive target for takeover, and seeks to construct a framework for screening and filtering companies for further study. 
The filtering is conducted across two basic measures which seek to answer two basic questions:

What might supply look like?
What might demand look like?

The first basic problem with creating such filters is that on the Supply side, using databases to determine whether a controlling shareholder wants to sell is almost a lost cause from the beginning. But the exercise throws up some interesting case studies, and it is important to understand why such screening could lead to interesting results. 
On the demand side, it is a difficult and complicated exercise because financial data moves around, shifting through time and relative price because competitors also shift in time and price. A clear example of a company which might have been "relatively" attractive vs peers a month ago might not be after the market ructions at the end of February 2020 when this was written. Prices were, of course, lower, which means that a good screening process is dynamic, both in relative and absolute measures. It is also somewhat difficult to create a one-size-fits-all screen for attractive targets because in certain countries, certain industries (telecom, airlines, social infrastructure, defence) are covered by foreign ownership limits, other industries (banks, brokers, insurers) rarely see leveraged buyouts, and takeovers in other industries (Chinese homebuilders) are, for lack of a better word, simply off the table at certain times.
In addition, there are lots of ways in which companies might present themselves as attractive targets. If someone controls a company, and wants to sell it cheaply, there are lots of potential buyers who will fall all over themselves to get in line to buy it. But companies can be attractive targets because of the potential for changing profit metrics and multiples through restructuring, asset reorganisation, industry reorganisation, or simply waiting for the cycle to change. 
Using valuation metrics with a cutoff line can be challenging because common multiples such as PER, PCFR, PBR, EV/EBITDA may ignore significant value available from longer-term securities holdings, non-operating real estate assets which are not managed in optimal fashion, etc. 
In short, screening can only go so far. But we try.
At the end, we take a brief look at 10 companies from Developed Asia which show up as a result of our screening efforts. The resulting list is dominated by Japanese companies because some of the companies which show up from other countries fit the "no-go" categories above (airlines, financial companies, defence technology subject to foreign ownership limits, Chinese homebuilders subject to skepticism, etc.). Some are also clearly Emerging Asia businesses with Developed Asia listings. Screening for Emerging Asia got a few companies which are high on anyone's target list, including one which saw an unsolicited takeover approach earlier this week (end-Feb 2020), and another which has been in acquisition mode for years. 
We find the thinking process and screening technology has thrown up some previously less-than-obvious candidates which deserve further work.

China

China Dongxiang Group Co Ltd retails sportswear apparel products.

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China Dongxiang (3818 HK)

A Potential Asian LBO Screening System

With a relatively full slate of large value takeovers in Developed Asia in the past year - often by parents but also by buyout funds - and the...

Travis Lundy

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