Wednesday, August 10, 2011

ACCA Paper F3 Notes Cash Flow Statements

Money movement statements concentrate around the sources and utilizes of money and are a helpful
indicator of the companys liquidity and solvency. To put it differently it is about a page long
and it summarizes the inflows and outflows of cash below particular sections. Most
importantly though, a cash flow statement distinguishes among profit and money.

Discussion on Cash Flow Statements

Well, it's been argued the figure for profit within the profit and reduction account is
misleading because it is calculated after many non-cash deductions or additions
such as depreciation, profit on disposal of assets and accruals, while a money flow
statement simply says, lets just talk about what the company compensated or obtained in phrases
of cash only.

To illustrate this further, suppose a company made a profit of 1 million pounds, does
this necessarily imply that it's that amount of cash in its bank account? As this kind of,
the survival of the business depends not so much on earnings as on its ability to pay its
debts once they fall due.

Clearly a companys net money flow within a particular time period might be measured by
deducting the opening cash balance from the closing money stability. Nevertheless, would
not 1 prefer to understand the particulars with the transactions? Or what their effects are?

Without disclosing much information, it is recommended that a cash flow statement
summarizes the inflows and outflows of cash below the following classes:

1. Net Money Flow from Operating Activities
2. Returns on Investments and Servicing of Finance
3. Taxation
4. Funds Expenditure and Monetary Investment
five. Acquisitions and Disposals
6. Equity Dividends Paid
seven. Cash Flow prior to Management of Liquid Sources and Financing
eight. Management of Liquid Sources
nine. Funding

Alright, but what do these headlines imply, and exactly where do we obtain the information to
discover the net money movement for each of those classes?

Operating Actions

Running actions refer to the companys investing activities and day-to-day
functions, this kind of as promoting, distribution, administration costs, etc. The money movement
statement attempts to summarize the web money flow of those transactions, and this
may be done in two distinct methods:

one. The Direct Method
two. The Indirect Method

The direct method of calculating the net money flow from running actions is done in
the following way:

Money received from customers
Much less: Money compensated to suppliers
Money compensated to and on behalf of employees
Equals: Money movement from operating activities

The indirect technique calculates the net money flow from operating activities utilizing the
info from each the balance sheet and the profit and loss account, and it does
so within the following way:

Operating Revenue prior to Interest and Tax
Include: Depreciation
Loss on sale of fixed assets
Reduce in stocks and debtors
Increase in creditors
Much less: Profit on sale of fixed assets
Increase in stocks and debtors
Reduce in creditors
Equals: Net cash movement from running actions

Please Be aware

1. Depreciation isn't a cash expense, similarly for the reduction or profits on disposal.
two. Increase in stocks or debtors implies that the organization paid more money during the
time period to complete so.
three. A rise in collectors means that the company compensated less money during the yr
for its purchases.

Returns on Investments and Servicing of Finance

This section consists of cash received resulting from the ownership of investments other
than these invested in joint ventures and payments made to providers of finance
other than equity finance. Additionally, it consists of where suitable, the interest element of
payments made below finance leases.

E.g. curiosity compensated for loans, or dividends paid to choice shareholders

Any taxation compensated in respect towards the earnings with the company much less any tax rebates or
returns in respect of overpayments.

Funds Expenditure and Monetary Expense

These include the product sales proceeds or the payments to purchase fixed assets this kind of as
plant, buildings, gear, motor vehicles, and so on, such as long-term investments
made in the shares or debentures of other companies, unless the acquisition of
other companies is concerned.

Acquisition and Disposals

Money flows in respect of acquisition and disposals are only associated to parent
undertakings, this kind of because the acquisition or disposal of any investment in a subsidiary,
affiliate or joint enterprise.

Equity Dividends Compensated

They are merely the amount of dividends compensated to equity shareholders.

Administration of Liquid Resources

Liquid sources are present asset investments which are held as disposable shops of
worth. They're both

a) easily convertible into recognized amounts of cash at, or close to, its carrying amount
b) traded in an energetic marketplace

E.g. treasury expenses and shares around the stock exchange.

Funding

These represent quantities obtained from companies of finance, each financial debt and equity.

Saturday, September 4, 2010

ACCA Paper F2 free course note | Correlation & Regression | Types of Correlation

Correlation is described or classified in several different ways. Three of the most important are

(1) From the viewpoint of inclusion of variables
v  Simple Correlation: Association between only two variables is simple correlation. When only two variables are studied it is a problem of simple correlation. For example, relationship between profit and capital.
v  Multiple Correlation: Association among more than two variables is multiple correlation. In a multiple correlation three or more variables are studied simultaneously. For example, when we study the relationship of profit and capital, production cost and advertisement cost.
v  Partial Correlation: Incase of multiple correlation the association between two variables is called partial correlation when effects of other variables remain constant. In partial correlation we recognize more than two variables. But consider only two variables to be influencing each other, the effect of other influencing variable being kept constant. For example, correlation between capital and profit when the effects of production cost and advertisement cost remain unchanged.

(2) From the view point of direction of variables
v  Positive Correlation: If the change of one variable is associated with the change of other variable is the same direction, then the correlation existing between variable is called positive correlation. For example, if one variable (i,e. investment) is increasing the other (i.e. profit) on an average  is also increasing or, if one variable (i,e. investment) is decreasing the other (i.e. profit) on an average  is also decreasing, then the correlation is said to be positive. 
Investment (X)
Profit (Y)
5
2
10
3
15
4
20
5
25
6



v  Negative Correlation: If the change of one variable is associated with the change of other variable is the opposite direction, then the correlation existing between variable is called negative correlation. For example, if one variable (i,e. supply) is increasing the other (i.e. demand) on an average  is decreasing or, if one variable (i,e. supply) is decreasing the other (i.e. demand) on an average  is  increasing, then the correlation is said to be negative. 

Supply (X)
Demand (Y)
5
25
10
20
15
15
20
10
25
5

v  No correlation: If the change of one variable is no way associated with the change of other variable, then that indicates no relation.

Supply (X)
Demand (Y)
5
5
10
 20
15
3
20
50

(3) Linear and Non-Linear
v  Linear Correlation: When the ratio of change in both variables is constant then it is called linear correlation. If the amount of change in one variable tends to bear a constant ratio to the amount of change in other variable then the correlation is said to be linear.

Investment (X)
Profit (Y)
10
70
20
140
30
210
40
280
50
350
It is clear that the ratio of change between two variables is the same. If such variables are plotted on a graph paper, all plotted points would fall on straight line.

v  Non-linear Correlation: When the ratio of change in both variables does not give constant result then it is called non linear correlation. If the amount of change in one variable does not bear a constant ratio to the amount of change in other variable then the correlation is said to be non-linear. For example, if we double the amount of investment, the profit would not necessarily be doubled.

Investment (X)
Profit (Y)
10
70
20
100
30
120
40
150
50
350

ACCA Paper F2 free course note | Correlation & Regression | Correlation

Correlation analysis is the study of the relationship between two or more than two variables. It is the statistical tool we can use to describe the relationships between two or more than two variables. It is also defined as group of techniques to measure the association between two or more than two variables.
To explain, suppose the sales manager of Square Pharmaceuticals Ltd. wants to determine whether there is a relationship between the medicine sold in a month and advertisement.

Correlation analyses are based on the relationship between two (or more) variables. The known variable (or variables) is called the independent variable(s). The variable we are trying to predict is the dependent variable. Let’s take an example. Bankers might base their predictions of customer satisfaction on the interest rate. Thus, the interest rate is the independent variable and the customer satisfaction is the dependent variable. Bankers, for example, may add a second independent variable, environment, to improve their estimate of the customer satisfaction.

Coefficient of Correlation

The measure of correlation called the coefficient of correlation (denoted by the symbol r) summarizes in the figure the direction and degree of correlation.
Coefficient of Correlation is a measure of the strength of the linear relationship between two variables. It requires interval or ratio-scaled data.

Features of Correlation Coefficient

l  It can range from -1 to 1
l  Values of -1 or 1 indicate perfect and strong correlation.
l  The closer to -1, the stronger the negative linear relationship
l  The closer to 1, the stronger the positive linear relationship
l  Values close to 0 indicate weak correlation.
l  Negative values indicate an inverse relationship and positive values indicate a direct relationship.