  This paper, for the first time, focuses on the sector-wise analysis of a
stock market through multifractal analysis. We have considered Bombay Stock
Exchange, India, and identified two time scales, short ($<200$ days) and long
time-scale ($>200$ days) for investment. We infer that long-term investment
will be more profitable. For long time scale, sectors can be separated into two
categories based on the Hurst exponent values; one corresponds to stable
sectors with small fluctuations, and the other with dominance of large
fluctuations leading to possible downturns in those sectors.
