finance

We have a problem with rounding of floating point numbers for some financial calculations. Basically, we want to round monetary amounts like 1000000000.555 to 2 decimals. However, the float representation of this number is 1000000000.5549999 and as a result we will round down to 1000000000.55 rather than the correct 1000000000.56. Is there any way we can come around this problem in a safe way? The only thing we have come up with so far is to always add the smallest representable float to the amount before the rounding operation, but we don't know if this is safe in all cases. The code is

I have a big data set (around 200k rows) where each row is a loan. I have the loan amount, the number of payments, and the loan payment. I'm trying to get the loan rate. R doesn't have a function for calculating this (at least base R doesn't have it, and I couldn't find it). It isn't that hard to write both a npv and irr functions Npv <- function(i, cf, t=seq(from=0,by=1,along.with=cf)) sum(cf/(1+i)^t) Irr <- function(cf) { uniroot(npv, c(0,100000), cf=cf)$root } And you can just do rate = Irr(c(amt,rep(pmt,times=n))) The problem is when you try to calculate the rate for a lot of payments.

Closed. This question is off-topic . It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . Some sort of free REST API would be ideal, but in general is there any free API or web service or CSV file (that's not behind a password prompt) or anything out there that one can query to get the current list of the S&P 500 index constituents? I've looked on S&P's site itself ( http://www.standardandpoors.com ), through Yahoo Finance's API, and Markit on demand ( http://dev.markitondemand.com/ ), but have not

I am trying to use IbPY to pull the price of a stock along with its financial statements. I'm new to python and don't entirely understand the complexities of calling some of the different methods within IbPy. I wrote some code to loop through the SP 500 and pull the bid/ask for each stock. I was hoping someone might be able to help me figure out the next step to pull the financial statements. Thoughts on the best way to do that? from ib.opt import ibConnection, message from ib.ext.Contract import Contract from ib.ext.EWrapper import EWrapper from time import sleep import csv with open(r'C:

import urllib.request import re import csv import pandas as pd from bs4 import BeautifulSoup columns = [] data = [] f = open('companylist.csv') csv_f = csv.reader(f) for row in csv_f: stocklist = row print(stocklist) for s in stocklist: print('http://finance.yahoo.com/q?s='+s) optionsUrl = urllib.request.urlopen('http://finance.yahoo.com/q?s='+s).read() soup = BeautifulSoup(optionsUrl, "html.parser") stocksymbol = ['Symbol:', s] optionsTable = [stocksymbol]+[ [x.text for x in y.parent.contents] for y in soup.findAll('td', attrs={'class': 'yfnc_tabledata1','rtq_table': ''}) ] if not columns: