n Money for Nothing, Richard Lancaster, Managing Director of CLP talks to us about an expected hike in electricity tariffs. Then Alberto Moel talks to us about the impact of a volatile RMB/USD Fx environment on companies like Hon Hai Precision and Quanta. Finally our continued coverage of the Battle of Quants. Spencer Greenberg of Rebellion Research talks to us about artificial intelligence and machine learning. (Mon~Fri 8.00am-8.30am, moneyfornothing@rthk.hk)

8.03 am - News highlights of the day

* US stocks fall reversing earlier advance

*Fed says the US economy is expanding even as the global economy slows

*European leaders accuse Britain of selfishness and lack of solidarity

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8.10 am - Why the hike in Hong Kong's electricity rates next year?

CLP will charge an extra 9.2 % and Power Assets (the old Hong Kong Electric will raise its charges by 6.3%.

"This year we are seeing the full cost of the environmental compliance starting to pass through into our business. Quite critically for us to meet the next round of emission caps in 2015, we need to be using more and more natural gas. The new sources we'll be bringing in from the mainland are going to be 2-3 times our current supply." -------- CLP's Managing Director, Richard Lancaster

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8.20 am - How does the rising RMB impact mainland companies with large industrial operations?

Alberto Moel Senior Research Analyst of Asian IT Hardware at Sanford Bernstein talks to us about the impact of the rising RMB on companies like Hon Hai and Precision and Quanta.

"The RMB not appreciating actually helps these companies as many of their labor costs are denominated in RMB," says Mr. Moel.

Mr.Moel has a buy rating on Hon Hai Precision.

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8.25 am - Applying artificial intelligence and machine learning to stock markets

Artificial intelligence is the design of computer programs that have intelligent behavior; machine learning is about getting computers to learn automatically from data.

"As you try to apply artificial intelligence, you realize that the stock market is this time varying system. The rules that apply 10-15 years ago, don't apply today. When you design a system, it needs to be learning and then be able to update itself as the rules change." ------ Spencer Greenberg, Rebellion Research (www.rebellionresearch.com)

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