Questions
As part of an annual review of its accounts, a discount brokerage selects a random sample...

As part of an annual review of its accounts, a discount brokerage selects a random sample of 27 customers. Their accounts are reviewed for total account valuation, which showed a mean of $32,500, with a sample standard deviation of $8,600. (Use t Distribution Table.)

What is a 95% confidence interval for the mean account valuation of the population of customers? (Round your answers to the nearest dollar amount.)

95% confidence interval for the mean account valuation is between $  and $  .

In: Math

Hewlett-Packard Company (HPQ) reports the following in its 2007 10-K report. October 31 (in millions) 2007...

Hewlett-Packard Company (HPQ) reports the following in its 2007 10-K report.

October 31
(in millions)

2007

2006
Accounts receivable, net $13,420 $10,873


HPQ footnotes to its 10-K provide the following additional information relating to its allowance for doubtful accounts.

For the fiscal years ended October 31
(in millions)

2007

2006

2005
Allowance for doubtful accounts-accounts receivable
Balance, beginning of period $ 220 $ 227 $ 286
Increase in allowance from acquisition 3 4 --
Addition of bad debts provision 32 37 17
Deductions, net of recoveries (29) (48) (76)
Balance, end of period $ 226 $ 220 $ 227


(a) What is the gross amount of accounts receivables for HPQ in fiscal 2007 and 2006?

($ millions) 2007 2006
Gross accounts receivable Answer Answer


(b)What is the percentage of the allowance for doubtful accounts to gross accounts receivable for 2007 and 2006? (Round your answers to two decimal places.)

($ millions) 2007 2006
Percentage of uncollectible accounts to gross accounts receivable Answer Answer


(c)What amount of bad debts expense did HPQ report each year 2005 through 2007? What amount was actually written off?

($ millions) 2007 2006 2005
Bad debt expense Answer Answer Answer
Amount actually written off Answer Answer Answer


Which of the following statements describes how bad debts expense compares with the amounts of its accounts receivable actually written off?

Generally, HP has overestimated its accruals, which has deflated profit by the over-accrual of bad debts.

Generally, HP has underestimated its accruals, which has inflated profit by the under-accrual of bad debts.

The difference between bad debt expense and write-off during the three years is insignificant so it appears that profit has been fairly stated.

The difference between bad debt expense and write-off during the three years has inflated HPQ's cash flows reported.



(d)Compute HPQ's write-offs as a percentage of the allowance account at the beginning of the year (Round your answers to two decimal places).
2007 write-offs as a percentage of beginning of year allowance: Answer%
2006 write-offs as a percentage of beginning of year allowance: Answer%
What inferences can we draw as a result of changes in the allowance for doubtful accounts from 2006 to 2007?

HPQ's write-offs as a percentage of the allowance decreased from 2006-2007. By this measure it appears that HPQ is accurately accruing for anticipated credit losses.

The allowance for uncollectible accounts has decreased as a percentage of gross accounts receivable in 2007. We can , therefore, expect write-offs to increase.

The allowance for uncollectible accounts has decreased as a percentage of gross accounts receivable in 2007. This means that HPQ is over-stating its bad debt expense in the current year.

HPQ's write-offs as a percentage of the allowance decreased from 2006-2007. The reduction in write-off is reflected in their income statement as a corresponding reduction of bad debt expense and an increase in profit.

In: Accounting

READ AND SUMMARIZE THE FINDINGS ABOUT THE DIFFERENCES OF IFRS AMONG COUNTRIES: We present an index...

READ AND SUMMARIZE THE FINDINGS ABOUT THE DIFFERENCES OF IFRS AMONG COUNTRIES:

We present an index that can be used to distinguish between countries according to their institutional setting for the audit of financial statements and the enforcement of

compliance with accounting standards. The pursuit of comparable financial reporting and adoption of IFRS has highlighted differences in institutional setting between

countries that may influence the quality of IFRS reporting (Ball, 2006; Brown, 2011). The role of audit and accounting enforcement is arguably crucial to the application

of IFRS. The IFRS Foundation’s staff has supported calls by the World Bank for an international infrastructure to support the application of IFRS, emphasising that accounting quality is not a function of accounting standards alone (Hegarty et al., 2004;IASB, 2012). With the development of cross-country IFRS studies, researchers need

effective proxies to control for differences between countries in their institutional setting.

Our index represents a first attempt at ranking countries specifically on factors affecting the strength of audit and the level of enforcement activities relating to We present an index that can be used to distinguish between countries according to their institutional setting for the audit of financial statements and the enforcement of compliance with accounting standards. The pursuit of comparable financial reporting and adoption of IFRS has highlighted differences in institutional setting between countries that may influence the quality of IFRS reporting (Ball, 2006; Brown, 2011).

The role of audit and accounting enforcement is arguably crucial to the application of IFRS. The IFRS Foundation’s staff has supported calls by the World Bank for an

international infrastructure to support the application of IFRS, emphasising that accounting quality is not a function of accounting standards alone (Hegarty et al., 2004;IASB, 2012). With the development of cross-country IFRS studies, researchers need effective proxies to control for differences between countries in their institutional setting.

Our index represents a first attempt at ranking countries specifically on factors affecting the strength of audit and the level of enforcement activities relating to 16 has double the enforcement activity of a country scoring 8, although that is the literal interpretation of the numbers. Our aim is to provide a ranking of countries on enforcement in 3 years, using the index numbers to do so. At best, we can show how countries are positioned relative to their peers and how their position has changed over the study period. Nevertheless, our index improves on other indices by capturing, directly, differences between countries in their audit environments and enforcement of financial reporting requirements during a watershed period. Preliminary analysis supports this view.

There are many research opportunities to employ the index we present. For example, studies continue to address important questions about the consequences of adopting IFRS, often by considering the effect of the change of standards on the quality of financial statements or capital market outcomes. As another example, our index should be useful when the design of a study requires a measure of differences in the likelihood a country is monitoring compliance with accounting standards,including IFRS, and taking action on cases of non-compliance

In: Accounting

The following is a list of 29 Nascar racers, arranged in descending order. 18, 21, 22,...

The following is a list of 29 Nascar racers, arranged in descending order.
18, 21, 22, 25, 26, 27, 29, 30, 31, 33, 36, 37, 41, 42, 47, 52, 55, 57, 58, 62, 64, 67, 69, 71, 72, 73, 74, 76,77

-Find the % for the data value 74.

-Find the % for the data value 30

-Calculate the 44th percentile

-Calculate the 7th percentile

In: Statistics and Probability

Consider the following table: Year Quantity of Money (billions of $) Velocity Real GDP (billions of...

Consider the following table:



Year


Quantity of Money (billions of $)


Velocity


Real GDP (billions of 2009 $)


GDP Deflator


2006


$1,369


10.274


$14,717


2009


$1,684


8.650

1.002


2012


$2,434


6.696


$15,384

Fill in the missing data, using the quantity equation of money.

Why might velocity change in this way?

Calculate the average inflation rate between 2006 and 2009 and between 2009 and 2012.

If velocity had remained at the 2006 level, what would the deflator have been in 2009 and 2012, assuming real GDP and money are as in the table?

In: Economics

A relatively new firm has the dividend payment history. Suppose this stock sells for $8 per...

A relatively new firm has the dividend payment history. Suppose this stock sells for $8 per share. Estimate the shareholders' required rate of return using the dividend discount model with the following:

A. The dividend growth rate calculated over the firm's entire history.

B. The growth rate calculated over the actual dividend paying history only.

C. Why are the two answers different? Which do you think is most meaningful?

Table 9-10

Year dividends

2000 0

2001 0

2002 0

2003 0

2004 .10

2005 .13

2006 .15

2007 .18

In: Finance

Brown Inc.​'s annual dividends are indicated below. Find the required rate of return for this​ stock,...

Brown Inc.​'s annual dividends are indicated below. Find the required rate of return for this​ stock, assuming the future dividend growth rate will remain the same and the company has an infinite horizon. Assume the January​ 1, 2011 price of the stock was $39.00. What was the required return for Brown Inc.Brown Inc.​'s stock?

Year 2001 2002 2003 2004 2005
Dividend $         0.95 $         1.03 $         1.08 $         1.17 $         1.23
2006 2007 2008 2009 2010
$         1.29 $         1.39 $         1.46 $         1.58 $         1.71

What was the estimated annual required return for Brown Inc.​'s ​stock? ​(Round to two decimal​ places.)

In: Finance

Given the following price data for EA and the Market Index (DIA) from 2000 to 2015,...

Given the following price data for EA and the Market Index (DIA) from 2000 to 2015, find the returns for each price series, then calculate the beta for EA's stock. (Round to 3 decimals)

Year Ea DIA
2000 21.3125 74.67136
2001 29.975 70.95762
2002 24.885 60.53014
2003 47.68 77.4199
2004 61.68 81.3084
2005 52.31 82.6164
2006 50.36 98.24182
2007 58.41 106.8822
2008 16.04 72.5348
2009 17.75 89.03117
2010 16.38 101.5058
2011 20.6 109.6855
2012 14.52 120.583
2013 22.94 156.3253
2014 47.02 171.5243
2015 68.72 171.6787

In: Finance

Year Return 1980 32.42 1981 -4.91 1982 21.55 1983 22.56 1984 6.27 1985 31.73 1986 18.67...

Year

Return

1980

32.42

1981

-4.91

1982

21.55

1983

22.56

1984

6.27

1985

31.73

1986

18.67

1987

5.25

1988

16.61

1989

31.69

1990

-3.1

1991

30.47

1992

7.62

1993

10.08

1994

1.32

1995

37.58

1996

22.96

1997

33.36

1998

28.58

1999

21.04

2000

-9.1

2001

-11.89

2002

-22.1

2003

28.68

2004

10.88

2005

4.91

2006

15.79

2007

5.49

2008

-37

2009

26.46

2010

15.06

2011

2.11

2012

16

2013

32.39

2014

13.69

2015

1.38

2016

11.96

2017

21.83

2018

-4.38

2019

31.49

How much money would you have by the end of 2019? Problem 4. Hard problem: Suppose that you invested $x in 1980. Plot the amount of money you would have in 2019 for all values of $x between $0 and $100,000. Solve using R Studio

In: Accounting

27% of consumer prefer to buy grocery Online. Purchasing grocery online follows a binomial distribution pattern.

27% of consumer prefer to buy grocery Online. Purchasing grocery online follows a binomial distribution pattern. You randomly select 10 consumers. Find the probability that the number of customers who prefer to shop Online for grocery is

  1. Exactly 4

  2. At least 2

  3. Between 1 and 4 inclusive

In: Finance