A Study of Consumer Behaviour in the Gold Market of Kerala
Gold trade is flourishing business venture in Kerala. The yellow metal play an important role in our sociological institutions and rituals as a solid and reliable form of wealth and the quantity of the metal is decided by the affordability of the party. Irrespective of religion or community, every keralite father and mother want their daughter to tie the knot, bedecked in gold. The primary objective of this paper is to study gold and consumer behavior in Kerala. It also studies the consumer behavior of how people choose to buy gold, when they do and the various factors influencing the purchasing decision with respect to gold. Self-prepared questionnaire is administered among them to assess their buying pattern. From the study it is found out that the keralite consider gold as an all-time investment. Apart from the investment angle, people mainly keep gold with them as jewellery to fulfill their emotional needs. 
Key words: Gold Jwellery, Consumer behavior, Tradition, Investment
A New Gold Rush: Investing in Precious Metals
Following a huge run-up in the 1970s, precious metal prices have, until recent years, been very subdued. Investors tend to overlook precious metals, except to take note of the strong correlation properties with other asset classes, which justifies only a small allocation. However, given current macroeconomic conditions and the extreme policy response that has been initiated due to these conditions, investors should not only be looking at the correlation properties, but also the exceptional returns that precious metals will provide in the coming years.
State estimation for integrated vehicle dynamics control
This paper discusses a vehicle controller and a state estimator that was implemented and tested in a vehicle equipped with a combined braking and chassis control system to improve handling. The vehicle dynamics controller consists of a feed forward body roll compensation and a feedback stability controller. The estimator is based on a non-linear vehicle model combined with an extended Kalman filter. The Kalman filter is also connected to an algorithm, which estimates the tyre-road friction coefficient. The developed estimator was tested in a vehicle. Good results were achieved for normal and extreme driving manoeuvers.