Bombay Sensex Index (IX: BSESN)
27,346.33   +248.16 (+0.92%)
Daily Price  /  Updated: 1:54 AM EDT, Oct 31, 2014  /  Add to My Watchlist      
Historical Prices
Date Open High Low Close Volume Change (%)
Aug 06, 2014 25893 25902 25622 25665 0 -242.74(-0.94%)
Aug 05, 2014 25818 25928 25562 25908 0 +184.85(+0.72%)
Aug 04, 2014 25632 25754 25531 25723 0 +242.32(+0.95%)
Aug 03, 2014 25754 25863 25459 25481 0 +0.00(+0.00%)
Aug 02, 2014 25754 25863 25459 25481 0 +0.00(+0.00%)
Stock Market XML and JSON Data API provided by FinancialContent Services, Inc.
Nasdaq quotes delayed at least 15 minutes, all others at least 20 minutes.
Markets are closed on certain holidays. Stock Market Holiday List
By accessing this page, you agree to the following
Privacy Policy and Terms and Conditions.
Press Release Service provided by PRConnect.
Stock quotes supplied by Six Financial
Postage Rates Bots go here

Bombay Sensex Index (BSESN) Historical Stock Prices

Welcome to the Bombay Sensex Index historical stock prices page. Here you can search stock prices for Bombay Sensex Index by Month, Year or specify a specific date range. The table is historical stock prices are displayed by Date, Open Price, High Price, Low Price, and Close Price. Use the scroll bar to scroll down the page and click on the Download button in the bottom right hand corner should you wish to download any of the Bombay Sensex Index Historical Stock Prices.

More Historical Stock Prices for Bombay Sensex Index

Researchers have found that some of the biggest price deviations from random walks result from seasonal and temporal patterns. The historical stock prices for Bombay Sensex Index (BSESN) are no exception to this rule. In particular, returns in January significantly exceed those in other months (January effect) and on Mondays stock prices go down more than on any other day. Observers have noted these effects in many different markets for more than half a century, but without succeeding in giving a completely satisfactory explanation for their persistence. Stock Analysisuses most of the anomalies to extract information on future price movements from historical data. The Stocknod stock alertsand stock signalsuse this same concept to identify optimal entry and exit points. But some economists, for example Eugene Fama, argue that most of these patterns occur accidentally, rather than as a result of irrational or inefficient behavior of investors: the huge amount of data available to researchers for analysis allegedly causes the fluctuations.