Originality in an academic paper is a compulsion.as stated by the official declarations my every University in the world, the act of plagiarism is a legal offense and can lead to enormous hassles to the student’s career (Library, 2018). It is therefore, important to get MBA Projects /MBA Dissertations written manually. The relevance of manual approach towards any project or thesis in the fields of MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, Masters in Leadership, etc. can make it absolute authentic and genuine. As noted by Edwards (2014) manually written materials are liable to remain clear and concise in expressing the real voice of the researcher and makes plagiarism a tough call. The reason is when a piece of MBA Projects /MBA Dissertations gets manually interpreted there is the maximum possibility that the writer is expressing his own voice, and it is here that the written document gets plagiarism free. Copying a material is harder than allowing oneself to write a content with adequate knowledge and understanding.
The essence of originality in any MBA Projects /MBA Dissertations for the fields of MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, Masters in Leadership, etc.; demands clear knowledge bout the differences between a project work and a thesis /dissertation. According to the declarations made by UGA (2017) MBA thesis /dissertation remains inclusive of experimental design, research led on social grounds, analytical implementation of content under determined policies. Such documents allows the students to conduct approvedresearch on a long term basis, and the same appears fruitful to the human life. On the other hand, MBA projects or the non-thesis are meant to remain short lived. Such projects get tailored for students to meet specific mode of gaining knowledge about a particular topic.
Table 1 Thesis vs Projects

Source: UGA (2017)

From the table above, it can be well established that offering original understanding about the topic or subject is the core objective of all kinds of MBA Projects /MBA Dissertations. It is necessary to follow the University guidelines on a strict manner. Laying focus on topics from MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, Masters in Leadership, etc., the basic approach to all sorts ofMBA Projects /MBA Dissertations remain research-based and initiated after clear sampling related to the concerned topic. Comprehensive understanding of the sampling offers a great relief to the students in facing Viva sessions. It is through different kinds of sampling like, cluster sampling, multistage sampling, non-probability sampling, simple random sampling, statistical surveys, stratified sampling, and systematic sampling, are effective in offering clear vision to the MBA Dissertation.
Originality is also dependent on the kind of study materials that the research choose to add to the MBA Projects / MBA Dissertations. The strict regulation is to remain intake with peer reviewed journal articles that were published in last 7 years in the fields of MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, and Masters in Leadership. Eventually, the more critically each article will be interpreted from the inner voice of the researcher the more original will be the written works.

MBA Project, MBA Dissertation, MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, Masters in Leadership

Edwards M. (2014) What does originality in research mean? A student’s perspective. Nurse Res. 2014 Jul;21(6):8-11. doi: 10.7748/nr.21.6.8.e1254.
Library (2018) PENALTIES FOR PLAGIARISM. Hope College. Retrieved on 24th Nov. 2018 from https://hope.edu/library/services/preventing-plagiarism/penalties.html
UGA (2017) Thesis vs. Project (Non-thesis): What’s the Difference? College of Pharmacy. University of Georgia. Retrieved on 24th Nov. 2018 from https://online.uga.edu/sites/default/files/pdfs/thesis_vs_project_document.pdf

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Also Final Projects June 2018 on the below mentioned topic is also available at www.findtutoronline.net | Submission date is 7 January 2019, 23:59 BST
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1. Portfolio Construction with Robust Covariance (PC)
2. Machine Learning Techniques (ML)
3. Arbitrage Trading Strategy Design & Backtest (AB)
4. Pricing Credit Spread (CR)
5. Interest Rate Modeling for Counterparty Risk (IR)
6. Local Volatility in Interest Rates (LV)

Submission date is 7 January 2019, 23:59 BST

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High Class Thesis writing Services in India

High class and quality-oriented thesis writing services in India is very rare. Though the competition for Master’s Dissertation Help,Dissertation Writing UK, and PhD Dissertation Writing Services in various subjects appear competitive, yet specialisations in MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, and Masters in Leadership; are difficult to find.Moreover, writing style referencing gets noted particularly in relation with the respective academic disciplines like APA, MLA, Harvard, Chicago, etc. (Library, 2018).
Collecting data from peer-reviewed journal articles and University approved study materials are the basic benchmarks for creating a high class dissertation or thesis (ASU, 2017). Most of the writing services are involved in offering readily available study materials to the client. It is at this point that the authenticity and the validity of the thesis comes under question.It is important for a student or researcher scholar to understand that the value of a dissertation or thesis is a matter of achievement in offering intellectual understanding of the subject without any plagiarism (Citethisforme, 2018). Compromise in the quality of a dissertation or thesis can not only create room for poor quality data analysis, but also will degrade the standard of the reputation of the student or the research scholar. With increasing competitiveness, high class thesis writing services of India is getting more and more quality-oriented and professional.
Facilities for hand written thesis, dissertations, and essays are made available along with customised instructions as needed for every writing document. The purpose is to offer necessary support to the student in understanding the selected topic and at the same time offering opportunities to the student in making on time submissions in the hectic routine of the University. Whether the task is to handle Master’s level Dissertation Writing for different Universities from all over Europe, especially the UK, USA, Australia, or UAE; the target is to offer high class thesis, so that relevant research initiative can be forwarded after the submission. The process is to offer right study materials in support of the document and also professional guidelines from research scholars.
The identification of high class quality dissertation or thesis from graduation to PhD levels can be made possible as the students decides to go through various research based articles as published by the company. Gaining maximum support and on-time updates and delivery work, makes the student understand the growing process of the document. Addition of necessary instructions are taken under specialised concerns and the delivery of quality work gets assured.
Lastly, the choice gets obvious on selecting the high class and quality-oriented thesis writing services in India, as the value for money gets appropriately justified. Professionally carved dissertation and thesis must get accepted by a student only when the document justifies the concerns related to authentic data sources, appropriate writing styles and citations, plagiarism free, and most importantly value for money. Wise selected of high class thesis writing services in India can be confusing but with little effort the best can be achieved with all-fulfilling services.

Keywords: High class, quality-oriented, thesis, writing services in India, MBA Finance & Accounting, MBA in Marketing, MBA in IT Management, and Masters in Leadership, study materials, peer-reviewed journal articles

ASU (2017) Peer-Reviewed Journal Articles. Library tutorials. Arizona State University. http://www.asu.edu/lib/tutorials/storyline/peer-reviewed-journals.pdf
Citethisforme (2018) Citation guides. Cite this for Me. http://www.citethisforme.com/guides
Library (2018) Citing references. University of Reading. http://libguides.reading.ac.uk/citing-references/referencingstyles

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To gain excellence in MBA in Finance & Accounting, MBA in Marketing, or MBA in IT Management, it is necessary that all the written submissions are of extremely professional and academically appropriate. There are many top dissertations writing services in India that somewhat serves the purpose, but for excellence it is important that you get assistance from writers who have qualifications of MBA in Finance & Accounting, MBA in Marketing, or MBA in IT Management. Specialised assistances are also available for papers in Masters in Leadership in all the relevant fields of MBA. The purpose is to cover specific topics with precise and keen focus on relevant case studies. As one of the top dissertations writing services in India, our writing services are noted as best as there are specialised concentrations led upon the prevailing trends of course works in the field of MBA in Finance & Accounting, MBA in Marketing, and MBA in IT Management.

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With a reputed establishment as the top dissertations writing service in India, it has been recognised that at our writing service, all kinds of essay writing to PHD thesis writing are done with extensive professionally approved academically sourced study materials. The target is to offer excellent services in the most customised manner, and meet customer satisfaction.

Keywords: essay writing, PHD thesis writing, study materials, MBA in Finance & Accounting, MBA in Marketing, MBA in IT Management, top dissertations writing services in India.


Complete University Guide (2018) Accounting & Finance. UK University League Tables and Rankings 2019. Complete University Guide. Retrieved 11th of Nov 2018 from https://www.thecompleteuniversityguide.co.uk/league-tables/rankings?s=Accounting%20%26%20Finance
Complete University Guide (2018 a) Computer Science. UK University League Tables and Rankings 2019. Complete University Guide. Retrieved 11th of Nov 2018 from https://www.thecompleteuniversityguide.co.uk/league-tables/rankings?s=Computer+Science
Complete University Guide (2018 b) Marketing. UK University League Tables and Rankings 2019. Complete University Guide. Retrieved 11th of Nov 2018 from https://www.thecompleteuniversityguide.co.uk/league-tables/rankings?s=Marketing
European School of Economics (2018) Master in Finance. European School of Economics. Retrieved 11th of Nov 2018 from http://www.europeanschoolofeconomics.com/master-s-degree/master-in-finance/subjects.html
European School of Economics (2018 a) Master in Marketing. European School of Economics. Retrieved 11th of Nov 2018 from http://www.europeanschoolofeconomics.com/master-s-degree/master-in-marketing/
Postgraduate Search (2018) International Marketing MBA. Hotcourses Ltd. Retrieved 11th of Nov 2018 from https://www.postgraduatesearch.com/coventry-university-london/54084402/postgraduate-course.htm
Postgraduate Search (2018 a) Business Administration (Digital Technology Management) MBA. Hotcourses Ltd. Retrieved 11th of Nov 2018 from https://www.postgraduatesearch.com/pgs/search?course=computer-science-it&qualification=mba

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#CQF Final Project JUNE 2018 Cohort Released | For CQF Help Contact us via Whats App :+91 8697669523/+91 9830552467 | www.findtutoronline.net

Hi All
Please see below instructions for the final project.
Assessment for Final Project June 2018 Cohort is carried out by the means of a programming project. It is designed to give an opportunity for further study of numerical methods required to implement and validate a quantitative model.

To complete the project, you must implement one of the listed topics mentioned Below :

1) Portfolio Construction with Robust Covariance

2)Machine Learning Techniques

3)Arbitrage Trading Strategy Design & Backtest

4)Pricing Credit Spread

5)Interest Rate Modeling for Counterparty Risk

6)Local Volatility in Interest Rates


Electives are not a condition to complete the project. They give ideas on what to implement/write in analysis and discussion.

The elective material to support your project work is now available on the portal under Advanced Electives. There are fourteen elective topics in total and you will need to choose two topics to assist you with your project. You will have up until the 30 November 2018 to make your choices. All fourteen electives will be visible up until this point.

To select your electives please log into your portal:
· Study
· Module Resources
· Advanced Electives

You will have up until the deadline to change your choices. After the deadline date, only the two electives you have chosen will be visible. All electives will be available on the Lifelong Learning section of the portal by this point.

Please see attached Project Brief for full instructions.

Delegates are advised to print out the section of this Brief for their chosen topic.

There is no CVA component for June 2018 cohort.

Submission date for the project is Monday 07 January 2019, 23.59 BST

Absolutely no extensions will be accepted, any delegate who fails to hand in their work will be deferred with no exceptions.

Submission Requirements

Submission date for the project is 7th January 2019.

Absolutely no extensions will be accepted, any delegate who fails to hand in their work will be deferred with no exceptions.
Submission Requirements
Submit working code together with a well-written report and originality declaration.
Project report to have an exact title from the list above and content must correspond to it. Guided length is 30-50 pages, excluding code.
Submissions to be uploaded to online portal only. Upload format: one written report, (PDF), one zip archive with code and data files, and one scanned declaration (PDF).

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Project Brief Enclosed Herewith.

1 Instructions

To complete the project, you must implement one topic from the list below. Each topic requires the speci c model at its core and your project must implement it. Final project is about you as quant gaining and demonstrating the ability to implement (code) numerical techniques and backtest or sensitivity-test model output (prices, portfolio allocations, pairs tradin, etc).

1. Portfolio Construction with Robust Covariance (PC)

2. Machine Learning Techniques (ML)

3. Arbitrage Trading Strategy Design & Backtest (AB)

4. Pricing Credit Spread (CR)

5. Interest Rate Modeling for Counterparty Risk (IR)

6. Local Volatility in Interest Rates (LV)

Note. If you continue from a previous cohort please submit for the topic as described in this current Brief. There is no CVA component for June 2018 cohort.

1.1 Project Report and Submission Requirements

Submit working code together with a well-written report and originality declaration.

There is no set page length, be as condensed or as elaborate as you see t. However, your re-port must have an analytical quality and discussion of results/robustness/sensitivity/backtesting as appropriate to the topic.

Use charts, test cases and comparison to empirical research papers where available.

The report must contain a su cient description of the mathematical model, numerical methods and their convergence/accuracy/computational properties.

Please feature the numerical techniques you coded { make a table.

Mathematical sections can be prepared using LaTeX or Equation Editor (Word). For Mathematica and Python notebooks, make sure they are presentable and include source.

Submission date is 7 January 2018, 23:59 BST

Work done must match the Brief. There is no extension to the Final Project.

Projects without declaration or working code are incomplete and will be returned.

All projects are checked for originality. We reserve an option of a viva voce before a project grade and therefore, quali cation to be awarded.

1.2 CQF Electives Choice

We ask you to choose two Electives initially in order to preserve focus. All Electives content will be available later for your advancement. Electives give support but not a condition to Final Project, and several viable combinations for each topic are possible.

The e ective approach is to select one topical elective and one code development elective. Top-ical electives are identi ed for each topic, eg, ML, PC, AB CR, IR, LV. Coding electives give numerical techniques across models, they are are identi ed with Dev label.

For portfolio construction topic, Risk Budgeting elective recommended as the primary choice. Counterparty Credit Risk elective is main choice for two topics, Credit Spread Pricing and In-terest Rates for Counterparty Risk. Machine Learning Techniques topic can be started with Machine Learning with Python elective.

Project Workshops I and II supplement on methods not covered in electives and provide focus to the implementation of each topic. Webex sessions that follow workshops venture into imple-mentation examples.

Machine Learning with Level II on Python for quant nance, capabilities of scikit-learn libary
Python { ML (OLS, logistic), tensorow library example of ’deep learning’ (classi er)
{ use the Github link below and explore. Outcome: returns modelling

(for either prediction or backtesting), and Least Squares Monte Carlo
for pricing Bermudans in LMM framework.

Data Analytics { Dev Level I on Python for quant nance, data structures (Dataframe), numpy
(AB, PC) for numerical analysis, pandas for nancial time series analysis, data vi-
sualization. Outcome: a pre-requisite if you have not coded in Python.

Python Applications { Quant numerical techniques with Python examples and notes on com-
Dev (CR, IR, LV) putational e ciency: Normal from Uniform RN, linear equations and
eigenvalues, numerical integration, root nding (Bisection, Newton),
random numbers with arrays and seeding, Binomial/Poisson/LogNormal
distributions, SDE simulation (GBM, OU cases). Introduction to
Jupyter Notebook, arrays and indexes. Outcome: relevant particularly

for Monte-Carlo in Credit Spread and Interest Rate topics.

Table 2: Primary Elective Choices

Counterparty Credit CDS, survival probabilities and hazard rates reviewed. Three key nu-
Risk { CR, IR merical methods for quant nance pricing (Monte-Carlo, Binomial Trees,
Finite Di erence). Monte Carlo for simple LMM. Review of Module Five
on Credit with a touch on the copula method. Outcome: covers CVA

Computation clearly and reviews of credit spread pricing techniques.

Risk Budgeting { PC Reviews the nuance of Modern Portfolio Theory, ties in VaR and Risk
primary choice Decomposition with through derivations and expectation algebra. Gives
simple examples of gures you need to compute and then combine with
portfolio optimisation. Risk-budgeting portfolio from Video Part 10.

Advanced Volatility Considers the main kinds of PDEs (stochastic volatility and jump di u-
Modeling { LV primary sion) and their analytical solution: the main approach to solve stochastic
volatility (Heston model) is via Fourier Transform. In-depth on integra-
tion Outcome: Local Volatility topic o ers a classic pricing PDE, which

can be solved by techniques from this elective.

C++ { Dev Consider this a revised version of C++ Primer/ initial certi cate course.
Small examples will guide you through identi ers, data types and op-
erations with them. That is followed by debugging, control structures
and vignette cases on useful numerical techniques such as CDF, inte-
gration and use of cmath. The large nal part is about functions and
elements of object-oriented programming. Outcome: teaches good pro-

gramming style and generic techniques you are likely to apply in other
coding languages.

Table 3: Primary Elective Choices (Cont)

Machine Learning with Python has computational material on Github https://gist.github.com/yhilpisch/648565d3d5d70663b7dc418db1b81676

PyAlgoTrade documentation http://gbeced.github.io/pyalgotrade/docs/v0.18/html/index.html

More electives are available, particularly ones that you might like to return to for your profes-sional advancement { they are described at the end of this Brief.

1.3 Coding for Quant Finance

Choose programming environment that has appropriate strengths and facilities to imple-ment the topic (pricing model). Common choices range from VBA to Python to C++, please exercise judgement as quants: which language has libraries to allow you to code faster, validate easier.

Use of R/Matlab/Mathematica is encouraged { as a main environment or an addition. Sometimes there is a need to do time series/covariance matrix/rank correlation computa-tion, or to present results and the formulae in coherent form.

Project Brief give links to nice demonstrations in Matlab, and Webex sessions demonstrate Python notebooks { doesn’t mean your project to be based on that ready code.

Python with pandas, matplotlib, sklearn, and tensorow forms a considerable challenge to Matlab, even for visualisation. Matlab plots editor is clunky and it is not that di cult to learn various plots in Python.

‘Scripted solution’ means the ready functionality from toolboxes and libraries is called, but the amount of own coding of numerical methods is minimal or non-existent. This particularly applies to Matlab/R.

Projects done using Excel spreadsheet functions only are not robust, notoriously slow, and do not give understanding of the underlying numerical methods. CQF-supplied Excel spreadsheets are a starting point and help to validate results but coding of numerical techniques/use of industry code libraries is expected.

The aim of the project is to enable you to code numerical methods and develop model pro-totypes in a production environment. Spreadsheets-only or scripted solutions are below the expected standard for completion of the project.

What should I code? Delegates are expected to re-code numerical methods that are central to the model and exercise judgement in identifying them. Balanced use of libraries is at own discretion as a quant.

Produce a small table in report that lists methods you implemented/adjusted. If using ready functions/borrowed code for a technique, indicate this and describe the limitations of numerical method implemented in that code/standard library.

It is up to delegates to develop their own test cases, sensibility checks and validation. It is normal to observe irregularities when the model is implemented on real life data. If in doubt, reect on the issue in the project report.

The code must be thoroughly tested and well-documented: each function must be de-scribed, and comments must be used. Provide instructions on how to run the code.

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Why you should opt for MBA ready projects ?

As noted by UCLAN (2018)MBA degree must be able create global managers for the future by attaining ‘leading-edge Business and Management programmes’. These programmes are so specifically structured that the students get all kinds of professional trainings sandpractices, insight into innovative business approaches and eventually gain capabilities of creating international opportunities’ (UCLAN, 2018). All these initiatives makes the life of the students very hectic and immensely busy. It is at this moment that assistances from essay writing to PHD Thesis Writing appears very important. The facilities for attaining MBA ready projects with up to date research based approaches aims to offer the extended edge for excellence to the students.

All MBA based written documents are prepared as per the guidelines of the Universities from all over the world. The MBA ready projects are delivered as soon as they are needed. The necessary customisation can be preferred by the students at their personal end. However, the documents from essay writing to PHD Thesis Writing can be further facilitated by customised provisions over the MBA ready projects, in caseneeded. All kinds of necessary statistical analyses are supported by software tools like SPSS. Proper sampling and selection of the participants are made as per the relevant topic and specified nation.

In case of the literary reviews, only latest reviews are considered from the peer reviewed articles (TMCC, 2018). The literature collected for serving the purpose of Essay Writing to PHD Thesis Writing, are all based on journal articles that are published by the particular University library or Springer and Elsevier. It is the responsibility of the MBA ready projects to offer varied authentic types of journal article to all kinds of essays and theses. As noted by Elsevier (2018) the different types of peer reviewed journal articles can be marked in the following manner-

Source: Elsevier (2018)
MBA ready projects are very specifically constructed in accordance to the selection of the journal articles that are basically from the single blind and open types of reviews. The importance gets led by the essence of keeping the transparency intake. In the same way all the relevant and authentic study materials get enlisted in the Reference list. It is like a declaration about the sources form which the literary content has been collected.
To sum up, in the hectic schedule of daily life, gaining a degree in MBA for a high profile international job, is getting mandatory. In most of the cases, the MBA students are well capable of handling all kinds of practical presentations. However, the hurdles comes in when they are in need of assistance in Essay writing,Report writing, Case Studies, PHD Thesis Writing, etc. This is the moment when the students is in real need of a well-qualified research paper. The MBA ready projects offers well researched papers based on University recommended study materials and are very much based on latest information collected from different primary and secondary sources. The writing styles are very innovative and absolutely plagiarism checked. As the issue of plagiarism can be a matter of great constrain for any University submission (Hewitt, 2006); the MBA ready projects are all those projects that were never offered to anyone. These are documents that were kept intake with the company in the form of an extended service to the MBA students. It is an instantaneous response to immediate delivery of the projects at the nick of time.

Elsevier (2018) How to publish in scholarly journals. Understanding the Publishing Process. Elsevier. April 2018 Retrieved on 5th Nov 2018 from https://www.elsevier.com/?a=91173
Hewitt, J. L. (2006) Thesis /Dissertation checklist. Rice University. Retrieved on 5th Nov 2018 from http://www.owlnet.rice.edu/~cainproj/writingtips/thesischecklist.pdf
TMCC (2018) Research Methods: Peer-Reviewed Journal Articles. Truckee Meadows Community College LibGuides. Retrieved on 5th Nov 2018 from https://libguides.tmcc.edu/researchmethods/peer_reviewed
UCLAN (2018) Lancashire School of Business and Enterprise. UCLAN Preston, Lancashire, UK.Retrieved on 5th Nov 2018 fromhttps://www.uclan.ac.uk/schools/lancashire-school-business-enterprise/index.php?gclid=CjwKCAjwsfreBRB9EiwAikSUHbEic1qS7V7NptiLqyUUMZvgTo4Pzpu9YDFOLovn6yi0g9uwj_6C2RoCEA8QAvD_BwE

Keywords: MBA ready projects, essay writing, PHD Thesis Writing, Study Materials, MBA Projects MBA Dissertations, Academic Research Paper Writing Services In India.

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CQF EXAM3 June 2018 Exam Paper Enclosed herewith :
Exam 3

#CQF EXAM3/Module4 June 2018 Cohort Released Today |Submission is 15th November18 |Solutions Guide Buy Online via WhatsApp: +919830552467 | Give us a Call +91 8697669523

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CQF EXAM3 June 2018 Cohort Exam Paper attached herewith for your info & needful.

Exam 3