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Research Design forResearch Design for
a Study of Federala Study of Federal
Funds Futures andFunds Futures and
ConsumerConsumer
Confidence asConfidence as
Predictors of CorePredictors of Core
Deposit InterestDeposit Interest
RatesRates
What are research questions andWhat are research questions and
hypotheses?hypotheses?
 1. What is a good prediction model for change in core1. What is a good prediction model for change in core
deposit interest rate (CDIR)?deposit interest rate (CDIR)?
 A. Are Fed Funds Futures (FFF) good indices to predictA. Are Fed Funds Futures (FFF) good indices to predict
change in core deposit interest rate?change in core deposit interest rate?
 We predict FFF will be a significant predictor of CDIR and theWe predict FFF will be a significant predictor of CDIR and the
effect size will be large.effect size will be large.
Questions and Hypotheses -Questions and Hypotheses -
continuedcontinued
 B. Is consumer confidence (CC) a good index to predictB. Is consumer confidence (CC) a good index to predict
change in core deposit interest rate?change in core deposit interest rate?
 We predict CC is a significant predictor of CDIR with a largeWe predict CC is a significant predictor of CDIR with a large
effect size.effect size.
 C. Does a model containing both indicators (FFF and CC)C. Does a model containing both indicators (FFF and CC)
predict change in core deposit interest rate better than eachpredict change in core deposit interest rate better than each
one individually?one individually?
 We predict the model containing both FFF and CC will predictWe predict the model containing both FFF and CC will predict
CDIR better (i.e. explain a larger proportion of variance) thanCDIR better (i.e. explain a larger proportion of variance) than
either index individually.either index individually.
Describe Analysis PlanDescribe Analysis Plan
 Time seriesTime series
 Repeated measuresRepeated measures
 HLM with repeated observations on timeHLM with repeated observations on time
 Logistic regressionLogistic regression
 Survival analysis is recommended if the problem is posedSurvival analysis is recommended if the problem is posed
as a whether and when question, i.e., does CDIR change,as a whether and when question, i.e., does CDIR change,
and if yes, when does it change relative to threshold levelsand if yes, when does it change relative to threshold levels
of FFF or CC.of FFF or CC.

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Core deposit interest rate modeling change

  • 1. Research Design forResearch Design for a Study of Federala Study of Federal Funds Futures andFunds Futures and ConsumerConsumer Confidence asConfidence as Predictors of CorePredictors of Core Deposit InterestDeposit Interest RatesRates
  • 2. What are research questions andWhat are research questions and hypotheses?hypotheses?  1. What is a good prediction model for change in core1. What is a good prediction model for change in core deposit interest rate (CDIR)?deposit interest rate (CDIR)?  A. Are Fed Funds Futures (FFF) good indices to predictA. Are Fed Funds Futures (FFF) good indices to predict change in core deposit interest rate?change in core deposit interest rate?  We predict FFF will be a significant predictor of CDIR and theWe predict FFF will be a significant predictor of CDIR and the effect size will be large.effect size will be large.
  • 3. Questions and Hypotheses -Questions and Hypotheses - continuedcontinued  B. Is consumer confidence (CC) a good index to predictB. Is consumer confidence (CC) a good index to predict change in core deposit interest rate?change in core deposit interest rate?  We predict CC is a significant predictor of CDIR with a largeWe predict CC is a significant predictor of CDIR with a large effect size.effect size.  C. Does a model containing both indicators (FFF and CC)C. Does a model containing both indicators (FFF and CC) predict change in core deposit interest rate better than eachpredict change in core deposit interest rate better than each one individually?one individually?  We predict the model containing both FFF and CC will predictWe predict the model containing both FFF and CC will predict CDIR better (i.e. explain a larger proportion of variance) thanCDIR better (i.e. explain a larger proportion of variance) than either index individually.either index individually.
  • 4. Describe Analysis PlanDescribe Analysis Plan  Time seriesTime series  Repeated measuresRepeated measures  HLM with repeated observations on timeHLM with repeated observations on time  Logistic regressionLogistic regression  Survival analysis is recommended if the problem is posedSurvival analysis is recommended if the problem is posed as a whether and when question, i.e., does CDIR change,as a whether and when question, i.e., does CDIR change, and if yes, when does it change relative to threshold levelsand if yes, when does it change relative to threshold levels of FFF or CC.of FFF or CC.