Financial Risk Management (2) – Financial Risk Management: Financial Risk, Microeconomics and Macroeconomics and The ‘Credit Crunch’ (Diploma-Postgraduate)

Fundamental Microeconomic Factors and Their Relevance to Macroeconomic Development

Module 1

Infrastructural Development

The demand for money

Inflation and Money Supply

The Effects of Banks on the money supply

Controlling ‘M1’

Gearing Monetary and Fiscal Policies

The Determination Of Short-Term Interest Rates

The Structure Of Interest Rates

Currency Alignment

Financial Systems: A Review

Module 2

The Role and Contribution of the Financial System to Economic Development

Insurance, Pensions and Fund Management

The UK Financial System

The US Financial System

The German Financial System

The French And Italian Financial Systems

Financial Systems In Northern Europe-

Asset Valuation

.Portfolio Management: An Analysis

Financial Market Efficiency

The 2008 Credit Crunch: Evidence, Contributors and Remedies

Module 3

The Pros and Cons of High and Low Currency Value

Stabilizing Currency Value: State Control vs. Market Determinants

Interbank Lending and the Element of Trust

Analysing the 2008 Credit Crunch

The Credit Crunch and Intervention Failure

Efforts to Remedy the ‘Credit Crunch’

Economic ‘Kick-start’: Strategic Imperatives

Financial Risk Aversion: Changes In International Money Markets

Module 4

Current Money markets

Bond markets Operation

Equity markets Changes

Foreign exchange markets Stabilisation Movement

Derivatives - The Financial Futures Markets

Options, SWAPS and Other Derivatives: What’s New?

New Roles of Central Banks: learning From The Credit Crunch

Financial Risk Management: A Conceptual and Statistical Meta-Analysis (2)

Module 5

Managing currency Risk

Sensitivity Analysis As Risk Management

Managing Risk with SWAPS:

Statistical Analysis as a Risk Management Instrument

Interpreting Statistical Data

Mean and Statistical Mean

Probability and Normal Distribution

Degrees of Confidence

Correlation and auto-correlation

Calculating statistics from actual data

Understanding Statistical Significance

Making Sense of Chi-squared Distribution

Using Software to analyse data

Using PESTEL as a Tool to Risk Management