forecasting the recession

31
Canada’s Financial Future Created by Kirsten Boer, Shannon Hamilton & Gretl The Canadian Business Cycle

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An original statistical model built using data from Statistics Canada; COMM350 Final Presentation

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Page 1: Forecasting the Recession

Canada’s Financial Future

Created by Kirsten Boer, Shannon Hamilton & Gretl

The Canadian Business Cycle

Page 2: Forecasting the Recession

Agenda

1. Overview of Topic

2. Economic Theory

3. Data & Methods

4. Empirical Results & Sensitivity Analysis

5. Practical Applications

6. Summary

Page 3: Forecasting the Recession

Overview of Topic

What is the future path of Canada’s

Business Cycle? Is Canada’s

economy currently contracting?

Economic Theory Data & MethodsOverview SummaryResults Application

Page 4: Forecasting the Recession

In the News

Economic Theory Data & MethodsOverview SummaryResults Application

OECD warns of worst recession since early 1980sOECD says developed world could face worst recession since early 1980s; warns of

deflation

Economic contraction in Canada will be short-lived: Royal Bank

U.S. economic woes not necessarily Canada's fate

Page 5: Forecasting the Recession

Business Cycles

Business cycle: “fluctuations of aggregate economic activity”, which consists of 4 stages: contraction, trough,

expansion & peak

Economic Theory Data & MethodsOverview SummaryResults Application

Peak

Trough

Page 6: Forecasting the Recession

Business Cycles: Burns & Mitchell

Economic Theory Data & MethodsOverview SummaryResults Application

Business Cycles are recurrent, but not

periodic

Factors that affect

business cycles have regular patterns of

behavior

Theory suggests an

ARIMA model would not be

suitable

Page 7: Forecasting the Recession

ARIMA & GDP’s Growth Path

Economic Theory Data & MethodsOverview SummaryResults Application

Page 8: Forecasting the Recession

Classes of Economic Variables

Economic Theory Data & MethodsOverview SummaryResults Application

LaggingCoincidentLeading

Variable’s turning

point occurs before

the business cycle

Variable’s turning

point occurs at

the same time as

the business cycle

Variable’s turning

point occurs after

the business cycle

Theory suggests the appropriate lag length of different variables

Page 9: Forecasting the Recession

Classes of Economic Variables

Economic Theory Data & MethodsOverview SummaryResults Application

CountercyclicalAcyclicalProcyclical

Variable moves in

the same direction

as the business

cycle

Variable does not

move with the

business cycle

(e.g. real interest

rates)

Variable moves in

the opposite

direction as the

business cycle

Theory suggests the coefficient sign of different variables

Page 10: Forecasting the Recession

Considered Variables

Economic Theory Data & MethodsOverview SummaryResults Application

GDP= C + I + G + NX

•Durable consumption

• Stock index prices

•Capital Investment • Trade Balance

• CA Balance

•Exchange rates

•Government Spending on G&S

Other considered Variables: Bank of Canada Interest rate, Labour productivity, inflation (CPI), unemployment, MB1, mortgage rates

Page 11: Forecasting the Recession

What period should be used?

• 1996:1 to 2006:1

• Allows for a hold-out period

• Uses data that best matches the current structural relationship between the independent variables and the dependent variable

Economic Theory Data & MethodsOverview SummaryResults Application

Page 12: Forecasting the Recession

Is the Data Stationary?

Economic Theory Data & MethodsOverview SummaryResults Application

GDP Labour Productivity

Industrial Production Capital Investment

Page 13: Forecasting the Recession

Is the Data Stationary?

Economic Theory Data & MethodsOverview SummaryResults Application

Exchange Rate

Page 14: Forecasting the Recession

Correlation Matrix

Economic Theory Data & MethodsOverview SummaryResults Application

d_lab d_industprod d_exchange d_kinvest

1.000 0.3725 -0.0107 -0.1914 d_lab

1.000 -0.1136 -0.0106 d_industprod

1.000 0.1563 d_exchange

1.000 d_kinvest

Correlation Coefficients, using the observations 1996:1 - 2006:1

Page 15: Forecasting the Recession

Chosen Model

Economic Theory Data & MethodsOverview SummaryResults Application

coefficient std. error t-ratio p-value --------------------------------------------------------------

const 3382.92 928.731 3.643 0.0010 *** d_lab 4419.39 1049.81 4.210 0.0002 ***

d_industprod_1 0.524218 0.0982486 5.336 9.03E-06 *** d_Exchange_1 !797.298 213.312 !3.738 0.0008 *** d_kInvest_1 0.302776 0.0367233 8.245 3.34E-09 ***

Unadjusted R-squared = 0.86446 Adjusted R-squared = 0.84698

Mean of dependent variable = 9501.31 Standard deviation of dep. var. = 5024.55 Sum of squared residuals = 1.19761e+08

Standard error of the regression = 1965.52

F-statistic (4, 31) = 93.4873 (p-value < 0.00001)

Page 16: Forecasting the Recession

Review of Parameter Signs

Economic Theory Data & MethodsOverview SummaryResults Application

Variable Sign Reasoning

d_labour + Labour is better utilized in a period of economic prosperity

d_industrialprod_1 + Firms produce more when the economic outlook is good

d_exchange_1 -Canada is a net export country; as the change in the exchange rate falls, Canadian exports become more

attractive

d_kinvestment_1 + Firms invest more when the economic outlook of Canada is good

Page 17: Forecasting the Recession

Specification Tests

Economic Theory Data & MethodsOverview SummaryResults Application

Test Output Result

Ramsey RESET p-value=0.2706 DNR Null Hypothesis

White Test p-value=0.3597 DNR Null Hypothesis

Breusch-Godfrey p-value=0.166879 DNR Null Hypothesis

CUSUM/CUSUMSQGraph does not cross CI

BandsNo structural Break

Page 18: Forecasting the Recession

In-Sample Forecast Accuracy

Economic Theory Data & MethodsOverview SummaryResults Application

Measure Value

MFE 0.000625

MAFE 1408.3875

MSE 2678972.259

MPE 0.015954892

MAPE 0.1514023

Theil’s U 0.078145808

Page 19: Forecasting the Recession

Hold-Out Period Forecast

Economic Theory Data & MethodsOverview SummaryResults Application

Page 20: Forecasting the Recession

Hold-Out Period Forecast Accuracy

Economic Theory Data & MethodsOverview SummaryResults Application

Measure Value

MFE -1154.995

MAFE 2547.04

MSE 10054433.63

MPE -0.061863129

MAPE 0.219816721

Theil’s U 0.138125124

Page 21: Forecasting the Recession

Out-of-Sample Forecast

Economic Theory Data & MethodsOverview SummaryResults Application

Page 22: Forecasting the Recession

Sensitivity Analysis

1. What if the future values of the independent variables were less volatile than expected?

2. What if government successfully increase capital investment?

Economic Theory Data & MethodsOverview SummaryResults Application

Page 23: Forecasting the Recession

Sensitivity Analysis

Economic Theory Data & MethodsOverview SummaryResults Application

-30000

-22500

-15000

-7500

0

7500

15000

22500

30000

2001:02:00 2002:01:00 2002:04:00 2003:03:00 2004:02:00 2005:01:00 2005:04:00 2006:03:00 2007:02:00 2008:01:00 2008:04:00 2009:03:00

Comparison of Different Change in GDP Predictions

d_GDP Initial Prediction

Alternate Prediction (1) Alternate Prediction (2)

Page 24: Forecasting the Recession

Independent Variables & Theory

Economic Theory Data & MethodsOverview SummaryResults Application

1. Labour Productivity2. Industrial Production 3. Exchange Rate 4. Capital Investment

1. Leading/ Procyclical2. Coincident/ Procyclical3. No theoretical view4. Coincident/ Procyclical

Theory SuggestsIndependent Variables

Page 25: Forecasting the Recession

Independent Variables & Theory

Economic Theory Data & MethodsOverview SummaryResults Application

1. Labour Productivity2. Industrial Production3. Exchange Rate4. Capital Investment

1. Coincident/ Procyclical2. Lagging/ Procyclical3.Lagging/Countercyclical4. Lagging/ Procyclical

Model SuggestsIndependent Variables

Page 26: Forecasting the Recession

ARIMA Forecasting Accuracy

Economic Theory Data & MethodsOverview SummaryResults Application

Measure Value

MFE -2,161.71

MAFE 3,538.348

MSE 17,710,115

MPE -0.318

MAPE 0.425088

Theil’s U 0.163985

Page 27: Forecasting the Recession

ARIMA vs. OLS Model

Economic Theory Data & MethodsOverview SummaryResults Application

Our findings match

Burns & Mitchell’s Theory

ARIMA provides a less accurate model

Page 28: Forecasting the Recession

Macro-Level Application

Government’s Public Policy

Framework to Create Public

Policy

Direct Timeline Estimations

Analysis & Comparison Tool

Economic Theory Data & MethodsOverview SummaryResults Application

Page 29: Forecasting the Recession

Micro-Level Application

The Graduate Decision: School

or Work?

Trend Analysis

Economic Decision Criteria

Forecasted GDP values vs. Market Beliefs

Sensitivity Analysis

Economic Theory Data & MethodsOverview SummaryResults Application

Page 30: Forecasting the Recession

Key Takeaways

Economic Theory Data & MethodsOverview SummaryResults Application

1. GDP should begin to recover by the end

of 2008

2. Government should work to create

policies that aid in the recovery of

Canada’s economy

Page 31: Forecasting the Recession

Questions?