Services

What is taught

Live classes in English over Zoom, in groups of 3 to 6, at undergraduate and postgraduate level. Finance and accounting, economics, statistics, and preparation for specific exams.

Number of hours you studyAverage score improvement

01

Finance

Corporate finance and investments, from time value of money to portfolio theory and derivatives basics.


Time value of money, bond and equity valuation

Capital budgeting: NPV, IRR and payback

Cost of capital and capital structure

Risk, return and CAPM
NPV explorer Example
5% 8% 10% 12% 15%
Now

(1,000.00)
Year 1

409.09
Year 2

371.90
Year 3

338.09
NPV of (1,000) now, then 450 a year for 3 years 119.08

At 10% the project adds value: NPV is positive.


02

Accounting

Financial and managerial accounting, from the first journal entry to reading a full set of statements.


The accounting cycle and adjusting entries

Income statement, balance sheet and cash flow statement

Ratio analysis

Budgeting and variance analysis
Entries post, the sheet balances Example
Owner invests cash Dr Cash, Cr Equity
30,000
Equipment bought on credit Dr Equipment, Cr Payables
15,000
Service delivered, client invoiced Dr Receivables, Cr Revenue
8,000
Client pays part of invoice Dr Cash, Cr Receivables
5,000
Supplier paid Dr Payables, Cr Cash
6,000
Assets
Cash 29,000
Receivables 3,000
Equipment 15,000
Total 47,000
Liabilities and equity
Payables 9,000
Equity 38,000
Total 47,000

Assets = Liabilities + Equity, after every entry

03

Economics

Microeconomics and macroeconomics at principles and intermediate level, with the graphs and the maths worked through step by step.


Supply, demand and elasticity

Consumer choice, production and costs

Competition, monopoly and market failure

GDP, inflation and unemployment

Monetary and fiscal policy, AD-AS and IS-LM
Demand shifts, equilibrium moves Example
Demand falls Base case Demand rises
SDPQ

Equilibrium where supply meets demand.


04

Statistics

From descriptive statistics to regression, with the emphasis on reading and interpreting results, not just computing them.


Descriptive statistics and probability distributions

Sampling, confidence intervals and hypothesis testing

Simple and multiple regression with OLS

Interpreting coefficients, R² and p-values
Means pile into a bell Central limit theorem
Mean of each sample of 30

Whatever the population looks like, the means of large samples follow a normal curve.

Not sure which class fits?

Send your syllabus or exam date and the tutor will tell you what is covered and when the next group runs.