Session 2
Making Statistical Inferences Confidence intervals – e.g. used in “Value at Risk” Hypothesis testing – a single population Hypothesis testing – a single propositions
Making Statistical Inferences Confidence intervals – e.g. used in “Value at Risk” Hypothesis testing – a single population Hypothesis testing – a single propositions
Core Data Summaries & Descriptors Setting the Scene Summarising & Describing data effectively – Exercise 1 Summarising & Describing data effectively – Exercise 2
The end-to-end process of M&A The motivations and pitches from the Buy and Sell side What does the Analyst do day-to-day? The pros and cons There will be a chance for Q&A at the end
Building trust and collaboration within a team Taking ownership and being accountable Accepting that conflict may happen and how to resolve it Working together to achieve the desired outcome
The typical role of a Research Analyst What is the importance of Equity Research and who participates? Why has the landscape of Equity Research changed? Why does paid research exist?
‘The glamorous and the not so glamorous’ – What are the different roles within Corporate Banking? How is Commercial Banking subdivided? The challenges of Commercial Banking Why is Commercial Banking so important?
Make sense of the organogram and what real people do day to day What is origination and syndicate, what’s that got to do with IPOs? What are “Chinese walls”, what do Corporate Finance & Advisory do? What about Asset Management and other interesting value-added services? How is this all managed – risk, product control and