Linking advanced financial modelling techniques and economic theories to the practical needs of portfolio construction and risk management.
Thursday, 11 October 2007
Risk Radar - A tool to identify multi-dimensional market risk
A risk radar model has been recently developed to identify multi-dimensional market risk, including ten risk factors: 1) Market Volatility; 2) Gold Favor; 3) Term Spread; 4) Yen Carry Trade; 5) Credit Spread; 6) Emerging Market Bond Spread; 7) FX Volatility (EUR,JPY,CHF,GBP,AUD); 8) Market Sentiment; 9) Market Liquidity; 10) Quality Nervousness. All variables are nomalized to derive the Z-score on a continous120-day rolling basis.
Junhua Lu BSc, MSc (Fin), CFA, MCSE, PhD
Quantitative portfolio strategist with expertise in a broad range of financial modelling and quantitative analysis techniques. Familiarity with a broad range of portfolio risk management and strategies, including portfolio optimization with higher moment, stress testing, back testing, and risk budgeting. Demonstrated ability to employ a variety of advanced econometric techniques to identify potential investment opportunities creatively.
Extensive experience with such programming packages as MATLAB, C++, and VBA as well as use of such financial databases as Factset, Bloomberg, CRSP, Compustat, Lipper and Morningstar.