1 Housing Price & Mortgage Rate Bilge Imer Chih Hua Chen Hunjung Kim Melissa Manfredonia Yongyang Yu.

Slides:



Advertisements
Similar presentations
ARCH (Auto-Regressive Conditional Heteroscedasticity)
Advertisements

CALIFORNIA HOUSING MARKET FORECAST June California Housing Market Outlook SERIES: CA Housing Market Outlook SOURCE: CALIFORNIA ASSOCIATION OF REALTORS®
1 CHAPTER 10 FORECASTING THE LONG TERM: DETERMINISTIC AND STOCHASTIC TRENDS Figure 10.1 Economic Time Series with Trends González-Rivera: Forecasting for.
Forecasting CPI Xiang Huang, Wenjie Huang, Teng Wang, Hong Wang Benjamin Wright, Naiwen Chang, Jake Stamper.
Office of the Chief Economist The Housing Outlook David F. Seiders Chief Economist Presentation to: The NAHB Construction Forecast Conference April 26,
Take Home II: US Residential Natural Gas Price Analysis and 2011 Forecast Group E Lars Hult Eric Johnson Matthew Koson Trung Le Joon Hee Lee Aygul Nagaeva.
Angela Sordello Christopher Friedberg Can Shen Hui Lai Hui Wang Fang Guo.
Price of Gold and US Dollar Index Dwarakamayi Polakam Jennifer Griffeth Ashley Arlotti Rui Feng Ying Fan Qi He Qi Li Group C Presentation.
United States Imports Michael Williams Kevin Crider Andreas Lindal Jim Huang Juan Shan.
Global Warming: Is It True? Peter Fuller Odeliah Greene Amanda Smith May Zin.
1 Takehome One month treasury bill rate.
1 Lecture Eleven Econ 240C. 2 Outline Review Stochastic Time Series –White noise –Random walk –ARONE: –ARTWO –ARTHREE –ARMA(2,2) –MAONE*SMATWELVE.
Project II Troy Dewitt Emelia Bragadottir Christopher Wilderman Qun Luo Dane Louvier.
Econ 240C Lecture Part I. VAR Does the Federal Funds Rate Affect Capacity Utilization?
Data Sources The most sophisticated forecasting model will fail if it is applied to unreliable data Data should be reliable and accurate Data should be.
Arch-Garch PPIFGS. Producer Price Index Finished Goods 1982=100.
Exchange Rate YuYuan Liu Han Yu Yang Dennis Yue Jessica Chen Jo-Yu Mao.
1 Arch-Garch Lab Nine. 2 Producer Price Index for Finished Goods, 1982 =100, –
Assessing the Relationship between Population Growth and Economic Growth Karen Chang Chih Hua Chen Jessica Chen Derek Shum Gabriela Alcaraz Dennis Yue.
Global Analysts Eirik Skeid, Anders Graham, Bradley Moore, Matthew Scott Tor Seim, Steven Comstock.
Will There Be Jobs For All of Us Financial Econometricians? Ben Kallo Ben Kallo James Katavolos James Katavolos Luke Panzar Luke Panzar Ryan Carl Ryan.
Forecasting Crude Oil Prices By: Keith Cochran Joseph Singh Julio Urenda Dave White Justin Adams.
Econ 240C Lecture Part I. VAR Does the Federal Funds Rate Affect Capacity Utilization?
1 ECON 240C Lecture 8. 2 Outline: 2 nd Order AR Roots of the quadratic Roots of the quadratic Example: change in housing starts Example: change in housing.
Modeling Unemployment Rates June 3, 2008 Ryan DeGrazier Chun-Hung Lin Johan Rothe Chun-Kai Wang Anastasia Zavodny.
Riskless Interest in the Foreign Exchange Market Presented by Gregory Adams Samantha Gardner Brett Hanifin Ali Irktur Ryan Nabinger Xiaoyin Zhong.
Forecasting. Aruoba-Diebold-Scotti (ADSA) Business Index, Fed at Philadelphia The Aruoba-Diebold-Scotti business conditions index is designed to track.
Forecasting World Wide Pandemics Using Google Flu Data to Forecast the Flu Brian Abe Dan Helling Eric Howard Ting Zheng Laura Braeutigam Noelle Hirneise.
CALIFORNIA HOUSING MARKET FORECAST April CALIFORNIA HOUSING MARKET OUTLOOK SERIES: CA Housing Market Outlook SOURCE: CALIFORNIA ASSOCIATION OF REALTORS®
1 CHAPTER 14 FORECASTING VOLATILITY II Figure 14.1 Autocorrelograms of the Squared Returns González-Rivera: Forecasting for Economics and Business, Copyright.
Zhen Tian Jeff Lee Visut Hemithi Huan Zhang Diana Aguilar Yuli Yan A Deep Analysis of A Random Walk.
1 ECON 240C Lecture 8. 2 Outline: 2 nd Order AR Roots of the quadratic Roots of the quadratic Example: change in housing starts Example: change in housing.
Introduction to Time Series Regression and Forecasting
He Loves Me, He Loves Me Not A Forecast of U.S. Jewelry Sales Alex Gates Ling-Ching Hsu Shih-Hao Lee Hui Liang Mateusz Tracz Grant Volk June 1, 2010.
Forecasting Fed Funds Rate Group 4 Neelima Akkannapragada Chayaporn Lertrattanapaiboon Anthony Mak Joseph Singh Corinna Traumueller Hyo Joon You.
Econ 240 C Lecture Outline w Project II w Forecasting w ARCH-M Models w Granger Causality w Simultaneity w VAR models.
The 91 Day T-Bill Rate Steven Carlson Miguel Delgado Helleseter Darren Egan Christina Louie Cambria Price Pinar Sahin.
FRESNO COUNTY Housing Affordability. MEDIAN PRICE OF EXISTING DETACHED HOMES Fresno County, January 2015: $211,470, Up 14.9% YTY SERIES: Median Price.
Demand Forecasts The three principles of all forecasting techniques: –Forecasting is always wrong –Every forecast should include an estimate of error –The.
SAN DIEGO COUNTY Housing Affordability. MEDIAN PRICE OF EXISTING DETACHED HOMES San Diego County, Jan. 2015: $496,380, Up 3.6% YTY SERIES: Median Price.
Time Series “The Art of Forecasting”. What Is Forecasting? Process of predicting a future event Underlying basis of all business decisions –Production.
THE GOVERNMENT OF THE REPUBLIC OF SLOVENIA INSTITUTE OF MACROECONOMIC ANALYSIS AND DEVELOPMENT Iasi, 26 SEPTEMBER 2008 Forecasting macroeconomic variables.
CDAE 272 International Economic Development Spring 2008.
JongHoo Choi, SeungMan Hong, JongChul Shin, SunKyoung Kim, HyokMin Kwon Department of Information and Statistics, Korea University Comparison of the Time.
Seminar: Timely Topics for Today’s Business World Mr. Bernstein Risk January 2015.
The Interaction between the Sub-Market Turnover Ratios and Prices in Taiwan Mei-Ling Chou Taoyuan Innovation Institute of Technology, Taiwan European Real.
CALIFORNIA HOUSING MARKET FORECAST June U.S. HOUSING MARKET OUTLOOK SERIES: U.S. Existing home sales of single-family homes and condo/coops SOURCE:
Mean and Variance Dynamics Between Agricultural Commodity Prices, Crude Oil Prices and Exchange Rates Ardian Harri Mississippi State University Darren.
Standard and Poor index (S&P500) Standard and Poor index (S&P500) : Returns (first difference)
Group 3 Members:Dan Sun Hongliang Wu Hui Lai Hui Wang Ling-Ching Hsu Seok-Rahn Lee Shin-Hao Lee Yuanbo Mao Analysis of House Price in California Econ 240.
California Association of REALTORS  Robert A. Kleinhenz, Ph.D. Deputy Chief Economist California Association of REALTORS  Economic and Housing Market.
Forecasting. Model with indicator variables The choice of a forecasting technique depends on the components identified in the time series. The techniques.
Domestic Investment as a Drive of Economic Growth in Libya
MPU September
FORECASTING PRACTICE I
FORECASTING WITH A SYSTEM OF EQUATIONS: VECTOR AUTOREGRESSION
Exhibit 1:Summary Table
Linear Regression.
Title: Interest Rates and Economic Growth
Exhibit 1:Summary Table
Solution 7 1. a). The scatter plot or the residuals vs fits plot
Exhibit 1:Summary Table
Exhibit 1:Summary Table
California Housing Affordability Update
California Housing Affordability Update
Exhibit 1:Summary Table
Chou, Mei-Ling Assistant Professor Nanya Institute of Technology
California Housing Affordability Update
California Housing Affordability Update
California Housing Affordability Update
Presentation transcript:

1 Housing Price & Mortgage Rate Bilge Imer Chih Hua Chen Hunjung Kim Melissa Manfredonia Yongyang Yu

2 Data  USA and California housing price index (Source: Office of Federal Enterprise Oversight)  30-yrs mortgage rate (Source: St. Louis Fed Economic Data) - Data Range : Jan to April Quarterly Data

3 Housing Price of USA & CA

4 30 Mortgage Rate

5 Housing Price vs. Mortgage Rate

6 CAHP: California Housing Price Index

7 Histogram of CAHP

8 Correlogram of CAPH

9 Unit Root Test on CAHP

10 CAHP vs. LNCAHP

11 Line Graph of DLNCAHP

12 Histogram of DLNCAHP

13 Correlogram of DLNCAHP

14 Unit Root Test on DLNCAHP

15 Line Graph of DDLNCAHP

16 Histogram of DDLNCAHP

17 Correlogram of DDLNCAHP

18 Unit Root Test on DDLNCAHP

19 ARTWO Model

20 Diagnosis for ARTWO

21 Histogram of Residuals

22 Correlogram of Residuals

23 Serial Correlation Test

24 Forecast / DDlncahpf sef, 2006: :04

25 Line Graph of DDLNCAHPF with Forecast 2006: :04

26 Line Graph of CAHPF with Forecast 2006: :04

27 residsq=resid*resid (resid from ARTWO)

28 Histogram of RESIDSQ

29 Correlogram of Residuals Squared

30 ARCH Test

31 GARCH(1,0)

32 Diagnosis of GARCH(1, 0)

33 Correlogram of Standardized Residuals

34 Correlogram of Standardized Residuals Squared

35 Correlogram of Standardized Residuals

36 ARCH Test

37 GARCH(1,1)

38 Diagnosis for GARCH(1, 1)

39 Correlogram of Standardized Residuals

40 Correlogram of Standardized Squared

41 Histogram of Standardized Residuals

42 ARCH Test

43 Forecast of GARCH(1,0)

44 Forecast of DDLNCAHPF

45 Line Graph of DDLNCAHPF with Forecast 2006: :04

46 Line Graph of CAHPF with Forecast 2006: :04

47 Comparison of ARTWO & GARCH(1,0)

48 Comparison of ARTWO & GARCH(1,1)

49 INTERACTION BETWEEN HOUSING PRICES AND MORTGAGE RATES CA OR US HOUSING PRICES MORTGAGE RATE ? CA OR US HOUSING PRICES MORTGAGE RATE ? CA OR US HOUSING PRICES MORTGAGE RATE ? CA OR US HOUSING PRICES MORTGAGE RATE ?

50 LINE GRAPHS RAW SERIESMODELED SERIES

51 GRANGER CAUSALITY RAW SERIESMODELED SERIES CA USA

52 CROSS-CORRELATION

53 ESTIMATION VAR RAW SERIESMODELED SERIES

54 GRANGER CASUALITY CROSS CORRELATION VAR RAW MODELED CA US MR CA US MR CA US MR CA US MR US MR US MR CA US MR NA SUMMARY OF INTERACTIONS

55 Conclusion Two markets for housing prices, US and California, move together and have exponential trend According to univariate analysis forecast the exponential growth trend will continue throughout the next year. The casuality in between the housing prices in CA and US, and mortgage rate determined as;  Mortgage Rate affects national housing prices while CA housing prices are not largely affected by change in mortgage rates.

56 Questions?