2. AGENDA OBJECTIVE TECHNICAL ARCHITECTURE BASIC STRUCTURE &
CODES USED FINAL RESULTS BUSINESS IMPLICATIONS 3. OBJECTIVE To
obtain the companies adjusted closed share price after dividend
distribution. To review the past trends of dividend payout &
formulate future group strategy. Brand establishment increasing
dividends.acrosstheindustrybypaying 4. TECHNICAL
ARCHITECTUREMapReduce ProgramUsing HiveMapper -1Table
CreationReducer -1Loading DataFinal OutputInner JoinFinal Output 5.
BASIC STRUCTURE & CODES USED(Using Hive) FOR REMOVING THE
HEADER: ON UNIX Tail -n +2 {FILE_NAME_WITH_HEADER} >
{FILE_NAME_WITHOUT_HEADER}CREATING NYSE TABLE: ON HIVE hive>
CREATE TABLE NYSE (exchange STRING, stock_symbol STRING, T_date
STRING, SP_open FLOAT, stock_price_high FLOAT, stock_price_low
FLOAT, stock_price_close FLOAT, stock_volume INT,
stock_price_adj_close FLOAT) ROW FORMAT DELIMITED FIELDS TERMINATED
BY ',';LOADING THE DATA INTO NYSE TABLE: hive>Load data local
inpath '/home/ec2-user/MS_Praxis/ NYSE_daily_prices_AT_W.csv'
Overwrite into table NYSE;To SELECT ADJUSTED CLOSING PRICE FOR EACH
DAY THAT A STOCK REPORTED A DIVIDEND hive> select
n.stock_symbol,n.t_date,stock_price_adj_close FROM nyse n JOIN
dividend d ON n.stock_symbol=d.stock_symbol and n.t_date=d.t_date;
6. BASIC STRUCTURE & CODES USED(Using MapReduce) : Mapper
Import java and hadoop packages Public class stockers { Public
static class stockanalysismapper extends mapreducebase implements
mapper { // Declared the mapkey and mapvalue @Override Public void
map(longwritable key, text value,outputcollector output, reporter
reporter) throws ioexception { // declaration of given variables //
Used for loop switch case to parse the input lines and store the
data // Check for null values in the key // Check the header and
send the key value to output collector } } 7. ContdReducer public
static class StockAnalysisReducer extends MapReduceBase implements
Reducer { //Declaration of required variables @Override public void
reduce(Text key, Iterator values,OutputCollector output, Reporter
reporter) throws IOException { //Declaration of sum and flag
variables while (values.hasNext()) { // Parse the inputs which are
count, stock adjusted closing price and check // Store them as
required after parsing//check for null values of stock adjusted
closing price //Increment the sum } // write to output if sum is 2
and flag is 0 } } } 8. Contd Implementation of MapReduce on Hadoop:
Copy the data from UNIX directory to HDFS hadoop fs -put *.csv
eproj/input/ Run JAR code on hadoop hadoop jar Hadoop_matching.jar
Stockers eproj/input mproj/output108 To view the output hadoop fs
-cat mproj/output108/part-00000 9. RESULT We have found the
adjusted stock closing prices of companies on dates when they
offered dividends. 10. BUSINESS IMPLICATIONS Examining historical
adjusted closing price trends as it give accurate representation of
the company equity value beyond simple market price. Basis the
findings, it will encourage new investors will invest in the
company. It shows that the company is performing efficiently &
meeting shareholders expectations. Incase, there is no adjustment
and the stocks price is same after a dividend distribution, then
any investor will get free money by buying the stock the day before
the ex-date & later selling the stock after dividend
distribution. Clearly no such arbitrage situation exists. 11. THANK
YOU
