Accounting Variances and Performance Analysis in XLG plc
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This report discusses the calculation of different variances in accounting for XLG plc and analyzes the merits and demerits of using variances in assessing managers' performance. It also explores two alternatives for the company in terms of manufacturing or importing a product.
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LCBB5002
MANAGEMENT
ACCOUNTING
REPORT
MANAGEMENT
ACCOUNTING
REPORT
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Contents
INTRODUCTION.....................................................................................................................................3
MAIN BODY.............................................................................................................................................3
Part A:.....................................................................................................................................................3
Part B:....................................................................................................................................................10
CONCLUSION........................................................................................................................................14
REFERENCES........................................................................................................................................15
INTRODUCTION.....................................................................................................................................3
MAIN BODY.............................................................................................................................................3
Part A:.....................................................................................................................................................3
Part B:....................................................................................................................................................10
CONCLUSION........................................................................................................................................14
REFERENCES........................................................................................................................................15
INTRODUCTION
In companies of different sectors, accounting is considered as one of the core element
that need to be consider. Accounting can be understood as a way by which financial transactions
are categorized from overall business transactions and recorded in books of accounts (ter Bogt,
and Scapens, 2019). Mainly, there are two types of accounting which are financial and
management accounting (MA). The term MA is known as systematic way of preparing internal
reports that contains information related to quantitative and qualitative aspects. The project is
based on a company that is XLG plc. This company is involved in producing chemicals products.
Main objective of report is to understand about different kinds of variances that can occur due to
change in market conditions. The report is divided in to parts that are A&B. In the part A,
calculation of different variances has been done while in part B, explanation of two alternatives
is done in order to take correct decision.
MAIN BODY
Part A:
Calculation of followings:
(i) Sales price and volume contribution variance.
Sales price variance- The term sales price variance is difference of two types of sales in which
first is related sales revenues at market price and second is related to sales at estimated price. The
difference between these two can be positive or negative (Dai, Kou and Xu, 2020). It depends on
quality of product and marketing strategies of a company. In regards to given information of case
study, calculation of this ratio has been done in such manner:
Sales price variance: [(Actual Price-Standard price) x Actual number of units]
In companies of different sectors, accounting is considered as one of the core element
that need to be consider. Accounting can be understood as a way by which financial transactions
are categorized from overall business transactions and recorded in books of accounts (ter Bogt,
and Scapens, 2019). Mainly, there are two types of accounting which are financial and
management accounting (MA). The term MA is known as systematic way of preparing internal
reports that contains information related to quantitative and qualitative aspects. The project is
based on a company that is XLG plc. This company is involved in producing chemicals products.
Main objective of report is to understand about different kinds of variances that can occur due to
change in market conditions. The report is divided in to parts that are A&B. In the part A,
calculation of different variances has been done while in part B, explanation of two alternatives
is done in order to take correct decision.
MAIN BODY
Part A:
Calculation of followings:
(i) Sales price and volume contribution variance.
Sales price variance- The term sales price variance is difference of two types of sales in which
first is related sales revenues at market price and second is related to sales at estimated price. The
difference between these two can be positive or negative (Dai, Kou and Xu, 2020). It depends on
quality of product and marketing strategies of a company. In regards to given information of case
study, calculation of this ratio has been done in such manner:
Sales price variance: [(Actual Price-Standard price) x Actual number of units]
Sales volume contribution variance- This can be understood as a form of variance that measures
change in profit because of difference in quantity of actual and estimated sales. In relation to
above data, calculation of such ratio is done underneath:
Formula: (Actual units sold × Budgeted price for each unit) – (budgeted unit sold × Budgeted
price for each unit)
change in profit because of difference in quantity of actual and estimated sales. In relation to
above data, calculation of such ratio is done underneath:
Formula: (Actual units sold × Budgeted price for each unit) – (budgeted unit sold × Budgeted
price for each unit)
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(ii) The material price planning variance and material price operational variance.
Material price planning variance: It is a form of variance that is measured to assess the difference
between prices of actual and estimated material (Xu, Mili and Zhao, 2019). There is a particular
formula to compute this variance that is explained below in such way:
Formula: [(Revised budgeted sales x Standard Margin)- (Actual Sales Quantity X Standard
Margin)]
Material price planning variance: It is a form of variance that is measured to assess the difference
between prices of actual and estimated material (Xu, Mili and Zhao, 2019). There is a particular
formula to compute this variance that is explained below in such way:
Formula: [(Revised budgeted sales x Standard Margin)- (Actual Sales Quantity X Standard
Margin)]
Material price operation variance- It can be understood as a form of variance that measures
difference between various kinds of aspects related to completing operations including material,
labor etc. (Begiazi and Katsiampa, 2019). The calculation of this variance has been done in such
manner in accordance of given financial information:
Formula: [(Original budgeted sales x Standard Margin) – (Revised budgeted sales x Standard
Margin)]
difference between various kinds of aspects related to completing operations including material,
labor etc. (Begiazi and Katsiampa, 2019). The calculation of this variance has been done in such
manner in accordance of given financial information:
Formula: [(Original budgeted sales x Standard Margin) – (Revised budgeted sales x Standard
Margin)]
(iii) Given the change in operations, critically analyze the merits and demerits of using variances
in assessing managers’ performance.
The term variance analysis can be defined as difference between estimated outcome and actual
outcome (Jacob, Hinz and Kersten, 2019). The main objective of this method is to evaluate
performance of a company in terms of financial aspect. The variances are classified into different
types including material variance, labor variance and many more. These all variances contribute
in an effective manner with an aim of assessing performance of a company regards to each
aspect.
This tool for performance analyzing is used by managers of companies. In terms of financial
aspect, it becomes easier for managers to know about estimated expenses and actual value of
expenses (van Huijstee and Kessels, 2020). In the variance analysis, if actual cost is more than
estimated cost than this is considered as negative variance and known as unfavorable variance.
On the other hands, if actual income is more than estimated income than this is considered as
in assessing managers’ performance.
The term variance analysis can be defined as difference between estimated outcome and actual
outcome (Jacob, Hinz and Kersten, 2019). The main objective of this method is to evaluate
performance of a company in terms of financial aspect. The variances are classified into different
types including material variance, labor variance and many more. These all variances contribute
in an effective manner with an aim of assessing performance of a company regards to each
aspect.
This tool for performance analyzing is used by managers of companies. In terms of financial
aspect, it becomes easier for managers to know about estimated expenses and actual value of
expenses (van Huijstee and Kessels, 2020). In the variance analysis, if actual cost is more than
estimated cost than this is considered as negative variance and known as unfavorable variance.
On the other hands, if actual income is more than estimated income than this is considered as
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positive variance known as favorable variance. Herein, below an example of variance analysis is
mentioned in such manner:
Estimated
income
Actual
income Variance
£5000 £6000 £1000 (F)
£8000 £7500 £500 (A)
£9500 £1000
0 £500 (F)
£6500 £5000 £1500 (A)
Estimated
expense
Actual
expense Variance
£15000 £2000
0 £5000 (A)
£18000 £1500
0 £3000 (F)
£25000 £4000
0 £15000 (A)
£35000 £2500
0 £10000 (F)
These above tables are showing both kinds of variances including adverse and favorable. It is a
common example of variance, apart from this there are range of other variances that can be
included by managers when they are analyzing performance. In the absence of computing
variances, this can become difficult for managers to know about trend in expenses and income
for a particular time period. It is considered as one of the successful method of performance
analysis by companies. Such as in the above part, some key variances are computed related to
material prices and labors. The volume of these variances will help to above company in order to
measure performance of XLG plc. Apart from these features, the variance analysis method has
mentioned in such manner:
Estimated
income
Actual
income Variance
£5000 £6000 £1000 (F)
£8000 £7500 £500 (A)
£9500 £1000
0 £500 (F)
£6500 £5000 £1500 (A)
Estimated
expense
Actual
expense Variance
£15000 £2000
0 £5000 (A)
£18000 £1500
0 £3000 (F)
£25000 £4000
0 £15000 (A)
£35000 £2500
0 £10000 (F)
These above tables are showing both kinds of variances including adverse and favorable. It is a
common example of variance, apart from this there are range of other variances that can be
included by managers when they are analyzing performance. In the absence of computing
variances, this can become difficult for managers to know about trend in expenses and income
for a particular time period. It is considered as one of the successful method of performance
analysis by companies. Such as in the above part, some key variances are computed related to
material prices and labors. The volume of these variances will help to above company in order to
measure performance of XLG plc. Apart from these features, the variance analysis method has
some limitations and benefits. Underneath explanation of these merits and demerits of variance
analysis is done in such manner:
Merits:
 Contributes in performance management – It is one of the key advantage of variance
analysis as this contributes in analyzing overall performance of a company in an effective
manner. This is so because in the other financial statements like balance sheet, income
statement etc. information is presented in a format that does not provide any specific
performance of each individual activity. By help of these statements, managers cannot
become aware about overall performance of each activity and cannot take suitable steps
to enhance their performance (Kolias and Arnis, 2019). On the other hands, in variance
analysis performance of each department along with activity is included. Due to this, it
becomes useful to managers that they should consider doubtful activities for next
accounting period or not. For instance, in relation to above XLG plc, different kinds of
variances are computed to assess their performance related to material, labor and prices.
By help of these variances, managers of above company became able to know about their
performance about each aspect.
ï‚· Helps in controlling expenses: In addition to this, variance analysis is useful for
companies to control overall expenses in an effective manner. It becomes possible only
because of variances as managers can know about which activities are showing adverse
variance and they can prepare plan accordingly to deal. As well as they can also assess
the information about those activities’ cost whose variance is showing favorable result.
This can be understood by an example that if in a company, estimated cost for direct
labor is around 500 pounds but in actual cost occurs of 600 pounds. In this situation, the
variance will be of 100 pounds in adverse. Therefore, managers can prepare their plans
and strategies to deal with those activities which are showing negative result. As well as
variance analysis save time for managers in finding ineffective activities because they can
just check out those activities whose variance is adverse.
ï‚· Helps in determining roles and responsibilities- The variance analysis contributes in
determining roles and responsibilities of those departments whose performance is poor. It
is done as per the performance of each department or activity. For example, if variance of
analysis is done in such manner:
Merits:
 Contributes in performance management – It is one of the key advantage of variance
analysis as this contributes in analyzing overall performance of a company in an effective
manner. This is so because in the other financial statements like balance sheet, income
statement etc. information is presented in a format that does not provide any specific
performance of each individual activity. By help of these statements, managers cannot
become aware about overall performance of each activity and cannot take suitable steps
to enhance their performance (Kolias and Arnis, 2019). On the other hands, in variance
analysis performance of each department along with activity is included. Due to this, it
becomes useful to managers that they should consider doubtful activities for next
accounting period or not. For instance, in relation to above XLG plc, different kinds of
variances are computed to assess their performance related to material, labor and prices.
By help of these variances, managers of above company became able to know about their
performance about each aspect.
ï‚· Helps in controlling expenses: In addition to this, variance analysis is useful for
companies to control overall expenses in an effective manner. It becomes possible only
because of variances as managers can know about which activities are showing adverse
variance and they can prepare plan accordingly to deal. As well as they can also assess
the information about those activities’ cost whose variance is showing favorable result.
This can be understood by an example that if in a company, estimated cost for direct
labor is around 500 pounds but in actual cost occurs of 600 pounds. In this situation, the
variance will be of 100 pounds in adverse. Therefore, managers can prepare their plans
and strategies to deal with those activities which are showing negative result. As well as
variance analysis save time for managers in finding ineffective activities because they can
just check out those activities whose variance is adverse.
ï‚· Helps in determining roles and responsibilities- The variance analysis contributes in
determining roles and responsibilities of those departments whose performance is poor. It
is done as per the performance of each department or activity. For example, if variance of
sales is presenting negative outcome then managers can easily determine roles and
responsibility for sales department so that their performance can raise. This feature of
variance analysis saves cost and time of managers in order to allocate roles and
responsibility of each department of company.
Demerits:
ï‚· Reporting delay- It is the key concern in variance analysis because due to these managers
face issue of delay in reporting. This is so because in each quarter variances are computed
and at the end of financial year, in the process of getting information about variances
there can be consumption of too time. As a result, managers face issue of delay in making
projection of budgets for upcoming time period. So this is one of the key issue that is
being faced by managers when they apply variance analysis technique for making
projection of further income and expenses.
ï‚· Difficult to apply in service organizations- In addition to this, the variance analysis
technique is not easier to apply in service organizations (Xiang, He and Chen, 2019). It is
so because in service organizations, majority of cost is linked to overhead expenses
instead of manufacturing expenses and variance of overheads do not provide any useful
information to users. Though, different methods of variance analysis of overheads can
offer important information but in this process there will be need of higher time and cost.
So this is a key concern of variance analysis that it is not so effective in service
organizations as it is in manufacturing companies.
ï‚· Not suitable for small businesses: The variance analysis can be applied in those
companies which are larger in size and activities are performed big scale. For small
companies, it cannot be applied because of its complex process and higher cost. In small
firms, operations are conducted on a small level and due to which there are less financial
information that can be used in process of computing variance of material, prices etc. So
it is also a main issue of variance analysis that is faced by small companies as they cannot
apply this as a tool of performance analysis.
responsibility for sales department so that their performance can raise. This feature of
variance analysis saves cost and time of managers in order to allocate roles and
responsibility of each department of company.
Demerits:
ï‚· Reporting delay- It is the key concern in variance analysis because due to these managers
face issue of delay in reporting. This is so because in each quarter variances are computed
and at the end of financial year, in the process of getting information about variances
there can be consumption of too time. As a result, managers face issue of delay in making
projection of budgets for upcoming time period. So this is one of the key issue that is
being faced by managers when they apply variance analysis technique for making
projection of further income and expenses.
ï‚· Difficult to apply in service organizations- In addition to this, the variance analysis
technique is not easier to apply in service organizations (Xiang, He and Chen, 2019). It is
so because in service organizations, majority of cost is linked to overhead expenses
instead of manufacturing expenses and variance of overheads do not provide any useful
information to users. Though, different methods of variance analysis of overheads can
offer important information but in this process there will be need of higher time and cost.
So this is a key concern of variance analysis that it is not so effective in service
organizations as it is in manufacturing companies.
ï‚· Not suitable for small businesses: The variance analysis can be applied in those
companies which are larger in size and activities are performed big scale. For small
companies, it cannot be applied because of its complex process and higher cost. In small
firms, operations are conducted on a small level and due to which there are less financial
information that can be used in process of computing variance of material, prices etc. So
it is also a main issue of variance analysis that is faced by small companies as they cannot
apply this as a tool of performance analysis.
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Part B:
As stated in the above section, if XLG business purchases the fama Q commodity from Brazil
then the costs of buying this product rises. Until lockdown, the price of this commodity for each
unit was around 2.50 pounds but rose after lockdown and it was 3.70 pounds for XLG each unit.
Because of this, mark-up price for each unit of fama Q increases to 4.50 pounds. This business
also has a copyright for this item, which shows that they alone have the license to transfer it
throughout the UK. In this crucial situation, above-mentioned business has two options to
manufacture this item at home or to import the item from Brazil they used to do before. There
are several problems with both options now company has to pick just one that is acceptable and
less costly. Review of all options is performed in the following section in such a way:
Alternative one:
Alternative one is linked to make fama Q production in UK as import costs in Brazil are raising.
The biggest problem with this option is that it's going to become beyond patent law and
legislation. It is necessary for an individual who has a patent on a commodity to import or export
within such conditions, as allowed by statute. For XLG plc, this will render production
challenging according to the patent rulebook. This is because they do not have adequate
expertise of Fama Q production since they exported it from Brazil, and there is a risk of whether
or not this product can be generated successfully by the firm. From the financial perspective, this
alternative of generating Fama Q has been discussed in detail below in such a way:
If making fama Q
Chemical X Chemical Y
Per
unit
Budget
ed
Per
unit
Varian
ce
Budget
ed
Per
unit
Varian
ce
Selling Price 45 26775 45
38823.
75
12048.
75 35 20825 37
31921.
75
11096.
75
As stated in the above section, if XLG business purchases the fama Q commodity from Brazil
then the costs of buying this product rises. Until lockdown, the price of this commodity for each
unit was around 2.50 pounds but rose after lockdown and it was 3.70 pounds for XLG each unit.
Because of this, mark-up price for each unit of fama Q increases to 4.50 pounds. This business
also has a copyright for this item, which shows that they alone have the license to transfer it
throughout the UK. In this crucial situation, above-mentioned business has two options to
manufacture this item at home or to import the item from Brazil they used to do before. There
are several problems with both options now company has to pick just one that is acceptable and
less costly. Review of all options is performed in the following section in such a way:
Alternative one:
Alternative one is linked to make fama Q production in UK as import costs in Brazil are raising.
The biggest problem with this option is that it's going to become beyond patent law and
legislation. It is necessary for an individual who has a patent on a commodity to import or export
within such conditions, as allowed by statute. For XLG plc, this will render production
challenging according to the patent rulebook. This is because they do not have adequate
expertise of Fama Q production since they exported it from Brazil, and there is a risk of whether
or not this product can be generated successfully by the firm. From the financial perspective, this
alternative of generating Fama Q has been discussed in detail below in such a way:
If making fama Q
Chemical X Chemical Y
Per
unit
Budget
ed
Per
unit
Varian
ce
Budget
ed
Per
unit
Varian
ce
Selling Price 45 26775 45
38823.
75
12048.
75 35 20825 37
31921.
75
11096.
75
Cost of
Chemicals 20 11900 20 17255 5355 10 5950 17
14666.
75
8716.7
5
Increase in cost
due to import of
Fama Q 0.5 1.2
431.37
5
431.37
5 - 0.5
431.37
5
431.37
5
Total Cost 20.5
12197.
5 21.2
17686.
375
5488.8
75 10 5950 17.5
15098.
125
9148.1
25
Profit Margin 24.5
14577.
5 23.8
21137.
375
6559.8
75 25 14875 19.5
16823.
625
1948.6
25
Demand as per new scenario has been increased
by 45 percent
So, new demand for Chemical X and Y would
be:
Chemical X 595+ 595*45% 862.75
Chemical Y 595+ 595 * 45% 862.75
Analysis- The above calculation indicates that if they make it in the United Kingdom, demand
for fama Q will grow efficiently. In comparison, the expense of all goods like chemical X and Y
is often lower compared with profit margin. Therefore, this would be possible in terms of the
financial context for the aforementioned business to manufacture this product in the UK.
However, suggesting this option sooner without assessment of the second option would be
incorrect. The findings may be distinct in comparative analysis of both alternatives.
Chemicals 20 11900 20 17255 5355 10 5950 17
14666.
75
8716.7
5
Increase in cost
due to import of
Fama Q 0.5 1.2
431.37
5
431.37
5 - 0.5
431.37
5
431.37
5
Total Cost 20.5
12197.
5 21.2
17686.
375
5488.8
75 10 5950 17.5
15098.
125
9148.1
25
Profit Margin 24.5
14577.
5 23.8
21137.
375
6559.8
75 25 14875 19.5
16823.
625
1948.6
25
Demand as per new scenario has been increased
by 45 percent
So, new demand for Chemical X and Y would
be:
Chemical X 595+ 595*45% 862.75
Chemical Y 595+ 595 * 45% 862.75
Analysis- The above calculation indicates that if they make it in the United Kingdom, demand
for fama Q will grow efficiently. In comparison, the expense of all goods like chemical X and Y
is often lower compared with profit margin. Therefore, this would be possible in terms of the
financial context for the aforementioned business to manufacture this product in the UK.
However, suggesting this option sooner without assessment of the second option would be
incorrect. The findings may be distinct in comparative analysis of both alternatives.
Alternative two: This option is related to do with importing the commodity from Brazil that
business was doing previously as per the information given. However, after lockdown, the
expense of this import was increased but before it, this import was feasible for the business
because they were having goods at lower rate. To determine this alternative, a comprehensive
cost evaluation that resulted in the process of purchasing this product is essentially carried out.
Herein this aspect, it is necessary to know that under it the business complies with patent laws
and regulations (Sun, Suo and Huang, 2019). Thus, only the financial viewpoints of this
alternative that are presented below need to be analyzed:
If Imports: Chemical X Chemical Y
Budget
ed
Per
unit Actual
Varian
ce
Budget
ed
Per
unit
Varian
ce
Selling Price 35 20825 45 38250 17425 35 20825 37 27750 6925
Cost of
Chemicals 10 5950 20 17000 11050 10 5950 17 12750 6800
Increase in cost
due to import
of Fama Q - 1.2 1020 1020 - 1.2 900 900
Total Cost 10 5950 21.2 18020 12070 10 5950 18.2 13650 7700
Profit Margin 25 14875 23.8 20230 5355 25 14875 18.8 14100 -775
Analysis: According to the above values calculated it can be asserted that if they import fama Q
from Brazil, the company would be able to create a sum of margin. However, the profit amount
is not as large as expected, but in the short term, the company will not experience any financial
problems. Another advantage in this option is that the business does not need to think about
business was doing previously as per the information given. However, after lockdown, the
expense of this import was increased but before it, this import was feasible for the business
because they were having goods at lower rate. To determine this alternative, a comprehensive
cost evaluation that resulted in the process of purchasing this product is essentially carried out.
Herein this aspect, it is necessary to know that under it the business complies with patent laws
and regulations (Sun, Suo and Huang, 2019). Thus, only the financial viewpoints of this
alternative that are presented below need to be analyzed:
If Imports: Chemical X Chemical Y
Budget
ed
Per
unit Actual
Varian
ce
Budget
ed
Per
unit
Varian
ce
Selling Price 35 20825 45 38250 17425 35 20825 37 27750 6925
Cost of
Chemicals 10 5950 20 17000 11050 10 5950 17 12750 6800
Increase in cost
due to import
of Fama Q - 1.2 1020 1020 - 1.2 900 900
Total Cost 10 5950 21.2 18020 12070 10 5950 18.2 13650 7700
Profit Margin 25 14875 23.8 20230 5355 25 14875 18.8 14100 -775
Analysis: According to the above values calculated it can be asserted that if they import fama Q
from Brazil, the company would be able to create a sum of margin. However, the profit amount
is not as large as expected, but in the short term, the company will not experience any financial
problems. Another advantage in this option is that the business does not need to think about
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patent laws and regulations. It is possible that Brazil may, after a little time, decrease import-
export obligations that may result in lower import costs for the above XLG plc.
Suggestion: It can be reported in accordance with examination of both choices, as both
alternatives have certain benefits and demerits. This can be proposed in comparison analysis to
above business that they should go for option one. The rationale for this is that business will be
able to achieve longer-term higher returns under it. For this option the level of risk factors is also
smaller. So, with choice one, above the business needs to go in upcoming timer period. The
rationale for excluding choice two is because there is a smaller revenue margin that is not ideal
for the above business over a long period of time.
CONCLUSION
It has been reviewed from the above analysis that management accounting is crucial for
firms to manage their operations. This covers the vital approaches, procedures, forms of control
and other practices that ultimately help with decision-making duties within a firm. Adopting
management accounting systems is not necessary for business organizations, because it is not
realistic in actual life for a company that works in complex to environment and tackles different
problems. From part A, this can be concluded that variance analysis is one of the important
method to assess for performance analysis while second part states that XLG plc need to go with
option of manufacturing products in UK.
export obligations that may result in lower import costs for the above XLG plc.
Suggestion: It can be reported in accordance with examination of both choices, as both
alternatives have certain benefits and demerits. This can be proposed in comparison analysis to
above business that they should go for option one. The rationale for this is that business will be
able to achieve longer-term higher returns under it. For this option the level of risk factors is also
smaller. So, with choice one, above the business needs to go in upcoming timer period. The
rationale for excluding choice two is because there is a smaller revenue margin that is not ideal
for the above business over a long period of time.
CONCLUSION
It has been reviewed from the above analysis that management accounting is crucial for
firms to manage their operations. This covers the vital approaches, procedures, forms of control
and other practices that ultimately help with decision-making duties within a firm. Adopting
management accounting systems is not necessary for business organizations, because it is not
realistic in actual life for a company that works in complex to environment and tackles different
problems. From part A, this can be concluded that variance analysis is one of the important
method to assess for performance analysis while second part states that XLG plc need to go with
option of manufacturing products in UK.
REFERENCES
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Xu, Y., Mili, L. and Zhao, J., 2019. Probabilistic power flow calculation and variance analysis
based on hierarchical adaptive polynomial chaos-ANOVA method. IEEE Transactions
on Power Systems, 34(5), pp.3316-3325.
Begiazi, K. and Katsiampa, P., 2019. Modelling UK house prices with structural breaks and
conditional variance analysis. The Journal of Real Estate Finance and Economics, 58(2),
pp.290-309.
van Huijstee, A.N. and Kessels, H.W., 2020. Variance analysis as a tool to predict the
mechanism underlying synaptic plasticity. Journal of Neuroscience Methods, 331,
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Kolias, G. and Arnis, N., 2019. The optimal allocation of current assets using mean-variance
analysis. Accounting and Management Information Systems, 18(1), pp.50-72.
Xiang, Z., Wang, J., He, Q. and Chen, M., 2019, July. The Optimized Welding Spot Structure
Parameters of Corrugated Plate Component Based on Variance Analysis. In IOP
Conference Series: Materials Science and Engineering (Vol. 563, No. 3, p. 032041). IOP
Publishing.
Sun, J., Li, Y.P., Suo, C. and Huang, G.H., 2019. Identifying changes and critical drivers of
future temperature and precipitation with a hybrid stepwise-cluster variance analysis
method. Theoretical and Applied Climatology, 137(3-4), pp.2437-2450.
Jacob, A., Enzmann, F., Hinz, C. and Kersten, M., 2019. Analysis of Variance of Porosity and
Heterogeneity of Permeability at the Pore Scale. Transport in Porous Media, 130(3),
pp.867-887.
Books and journal:
ter Bogt, H.J. and Scapens, R.W., 2019. Institutions, situated rationality and agency in
management accounting. Accounting, Auditing & Accountability Journal.
Dai, M., Jin, H., Kou, S. and Xu, Y., 2020. A Dynamic Mean-Variance Analysis for Log
Returns. Management Science.
Xu, Y., Mili, L. and Zhao, J., 2019. Probabilistic power flow calculation and variance analysis
based on hierarchical adaptive polynomial chaos-ANOVA method. IEEE Transactions
on Power Systems, 34(5), pp.3316-3325.
Begiazi, K. and Katsiampa, P., 2019. Modelling UK house prices with structural breaks and
conditional variance analysis. The Journal of Real Estate Finance and Economics, 58(2),
pp.290-309.
van Huijstee, A.N. and Kessels, H.W., 2020. Variance analysis as a tool to predict the
mechanism underlying synaptic plasticity. Journal of Neuroscience Methods, 331,
p.108526.
Kolias, G. and Arnis, N., 2019. The optimal allocation of current assets using mean-variance
analysis. Accounting and Management Information Systems, 18(1), pp.50-72.
Xiang, Z., Wang, J., He, Q. and Chen, M., 2019, July. The Optimized Welding Spot Structure
Parameters of Corrugated Plate Component Based on Variance Analysis. In IOP
Conference Series: Materials Science and Engineering (Vol. 563, No. 3, p. 032041). IOP
Publishing.
Sun, J., Li, Y.P., Suo, C. and Huang, G.H., 2019. Identifying changes and critical drivers of
future temperature and precipitation with a hybrid stepwise-cluster variance analysis
method. Theoretical and Applied Climatology, 137(3-4), pp.2437-2450.
Jacob, A., Enzmann, F., Hinz, C. and Kersten, M., 2019. Analysis of Variance of Porosity and
Heterogeneity of Permeability at the Pore Scale. Transport in Porous Media, 130(3),
pp.867-887.
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