survival analysis of hedge fund

CLASS DESCRIPTION

 

The finance dissertation is a long piece of academic writing, divided into sections / chapters, that investigates in detail a particular finance topic selected by the student. The student will research their chosen subject by critiquing other researcher’s work, discussing relevant theories and/or methodologies, reviewing literature, collecting data and carrying out your own research on this data, usually involving statistical analysis. Once you have produced your results on your data, you will have to interpret what it all means and write it up in an acceptable academic format. The dissertation submitted must be original, demonstrate initiative and evidence of academic criticism and analysis.

 

For those students registered for the BA degree you should register for AG436 and the class counts for 40 credits towards your degree.  For those students taking the BSc Maths, Stats, and Finance degree, you should register for 40490 and the class counts for 20 credits towards your final degree. Students registered for the BSc project are required to complete all the basic components of the finance dissertation but the depth required is ½ of that required for the finance dissertation. Hereafter, we refer to the dissertation to mean both AG436 and 40490.

 

CLASS AIMS

 

The aims of the dissertation are to provide the student with an opportunity to demonstrate their academic skills, by studying in depth a subject in which they have an interest. The dissertation will provide the student with a degree of academic self-confidence and personal satisfaction, based on the experience of studying and researching an area independently. The dissertation is designed to support a student-centred approach to deep learning. Due to the individual input required an interesting, topical, well produced dissertation could help distinguish finance candidates in their search for employment

 

The dissertation

• is an independent piece of work,
• demonstrates detailed knowledge and understanding
• requires good organisation and planning
• shows critical and analytical thinking
• normally involves data collection
• requires data analysis/testing
• illustrates the context of existing knowledge
• requires a high standard of communication and presentation skills
• demonstrates an element of originality and personal input
• puts forward students own ideas, backed up with appropriate evidence
• is built on good academic methods and style.

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