VC Ramesh, who operates the blog ChinaPlayStocks.com, is an entrepreneur and investor / trader with a keen interest in China Play Stocks. He is the author of the eBook "China Play Stocks" which is available through major online booksellers. He describes "China Play" as one of: direct Chinese stock investments, investments in commodities or commodity stocks, and, investments in multinational companies that derive significant sales through China. He specializes in uncovering new means of getting exposure to unique China plays. http://www.chinaplaystocks.com/p/china-play-portfolio.html is a China Play (model) Portfolio.
My career has centered primarily on economics, finance and education. In addition to experience in commercial banking, the securities industry and teaching I pursued advanced research in economics.
I also began to take a long-term interest in the analysis of the dividend-paying capacity of firms. Hence the idea for "dividend support reports" which are intended to examine support for dividends from a longer term historical perspective in a concise format. At present my geographic interest is Asia.
The question arises what kind of analysis is necessary for companies that pay no dividend. For companies that pay no dividends, it may be still be useful to examine whether dividend payments could be supported in the future.
I also have a lifelong interest in languages, art and learning in general, and have been a long-term resident in Asia, having resided in Japan and Chinese Taipei (Taiwan). My book "Japan's Internationalization and Other Essays" gives a perspective of Japan from the experiences of a foreign resident as well as observations on political economy.
I am curious about a variety of industries, economies, economic policy and theory and may consider commenting on these topics from time to time.
The reports are for informational purposes only and are not to be viewed as investment advice or recommendations.
The analytical methodology is not necessarily a constant and may be periodically modified. In addition, while averages may be noted, they may be less meaningful if there are large swings over the period examined. While measures of dispersion such as the standard deviation can be used to capture such movement, I am hesitant to automatically assume that the underlying probability distribution is normal. This concern originates from my experience in finance and economics that insufficient understanding of the underlying probabilistic nature of the data and models can produce significant forecasting errors. A case-in-point might be default probability models that may have erroneously predicted the extent of loan losses in bank portfolios.
I manage 3 portfolio's , Self taught with lots to learn, My best move was selling Jan 2000, went to 85% cash and dollar cost until the market reached 860, then went all in. Did not see the 2008/9 crash ( I was taking care of a dying family member) I did not sell, I did buy bonds and did well. Along with Healthcare, Utilities, value Foreign, Emerging markets.S&P 500
For work I am a Inventor, Creator, Interior Designer and Small business owner , Lamps and Light, cookieLight.com. Studied architecture at SCI-ARC, and UCLA..
Like cooking, Italian from scratch. Learned from Grandma..