Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio 10 pptx
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_1 docx
... parametric and semi-parametric models, and models
that have and do not have closed-form solutions. The typology appears in
Table 2.1.
Both linear and polynomial models have closed-form solutions for ... β>0.
3
GARCH stands for generalized autoregresssive conditional heteroskedasticity, and
was introduced by Bollerslev (1986, 1987) and Engle (1982). Engle received the Nobe...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_3 pot
... particular point forecasts. Granger and
Jeon (2002) have suggested “thick modeling” as a strategy for neural net-
works, particularly for forecasting. The idea is simple and straightforward.
We should ... with Evolutionary Computation
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x1=randn (100 0,1)
y1=...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_5 pdf
... residuals. By all other criteria, the linear
140 5. Estimating and Forecasting with Artificial Data
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Network
Linear
FIGURE 5.13. Out-of-sample predictio...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_7 pptx
... process.
We specify four lags for the dependent variable. For quarterly data, this
is equivalent to a 12-month lag for monthly data, used by Stock and Watson
(1999) for forecasting inflation.
To make ... draw upon the standard Phillips curve framework used by Stock and
Watson (1999) for forecasting inflation in the United States. They define
the inflation as an h-period ahead fo...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_8 ppt
... is between 5 and 10% for
most of the banks in the sample. The distribution appears in Figure 8.2.
8.2.2 In-Sample Performance
Table 8.6 gives information about the in-sample performance of the
alternative ... an Application to
Forecasting Inflation,” IEEE Transactions in Neural Networks 12:
674–683.
Chow, Gregory (1960), “Statistical Demand Functions for Automobiles and
Their Use for...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_9 doc
... requirements, 102 103
implementation strategy,
109 – 110
in-sample criteria, 85–94
interpretive criteria,
104 108
MATLAB programming
code for, 93–94,
107 108
out-of-sample criteria,
94 103
significance ... ratings, 53
bootstrapping methods
for assessing significance,
108
for in-sample bias, 101 102
for out-of-sample
performance, 202, 204
0.632 bootstrap test, 101 102 ,
202, 2...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_10 pptx
... bond market for confirmation. A bullish technical forecast for bonds is also
a bullish technical forecast for stocks. Conversely, a bearish analysis for bonds is a
bearish forecast for stocks. ... market and falling commodity markets, the spring and early summer saw
surging commodity markets and a weak bond market. This surge in the CRB Index
was caused mainly by strong g...
Emerging Needs and Tailored Products for Untapped Markets by Luisa Anderloni, Maria Debora Braga and Emanuele Maria Carluccio_13 doc
... 1955, before computers were so common,
the RAND Corporation published a book entitled A Million Random Digits.
It was used in selecting random trials for experimental designs and simulations
(and ... prices
that can be forecast based on a given information set.
The only possible changes in price are random,
driven by unforecastable external information.
Profits occur only by chance....
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