Mario Forni
Biographic Data
| ID | 5735901 |
|---|---|
| NAME | Mario Forni |
| GIVEN NAMES | Mario |
| FAMILY NAME | Forni |
| SIGNATURE | FORNI M |
| AFFILIATIONS | University of Modena and Reggio Emilia |
| ORCID | 0000-0003-0256-8735 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2000 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Common Components Structural VARs
Structural VAR models (SVAR) produce results that can vary dramatically with the choice of variables, because information is deficient. We argue that if the variables of interest belong to a High-Dimensional Factor Model and are replaced in the SVAR by their common components, the information issue finds a solution, provided that the number of common components is larger than the number of structural shocks, so that the SVAR is dynamically singul…
Informing DSGE Models Through Dynamic Factor Models
Structural dynamic factor models (SDFM) represent a reliable tool to inform the construction of dynamic stochastic general equilibrium (DSGE) models. The reason is that the log‐linear solution of a DSGE model has a factor structure which ensures consistency between the representations of the two models. We assess the usefulness of SDFM for DSGE analysis by means of simulations. Using a standard DSGE model as the data generating process, we show t…
Noise Bubbles
We introduce imperfect information in stock prices determination. Agents, whose expectations are not assumed to be rational, receive a noisy signal about the structural shock driving future dividend variations. Equilibrium stock prices are decomposed into a fundamental component and a transitory ‘noise bubble’ which can be responsible for boom and bust episodes unrelated to economic fundamentals. We propose a non‐standard VAR procedure to estimat…
No News in Business Cycles
A structural factor-augmented VAR model is used to evaluate the role of ‘news shocks’ in generating the business cycle. We find that existing small-scale VAR models are affected by ‘non-fundamentalness’ and therefore fail to recover the correct shock and impulse response functions; news shocks have a smaller role in explaining the business cycle than previously found in the literature; their effects are essentially in line with what predicted by …
New Eurocoin
Removal of short-run dynamics from a stationary time series to isolate the medium- to long-run component can be obtained by a bandpass filter. However, bandpass filters are infinite moving averages and can therefore deteriorate at the end of the sample. This is a well-known result in the literature isolating the business cycle in integrated series. We show that the same problem arises with our application to stationary time series. In this paper,…
A Measure of Comovement for Economic Variables
This paper proposes a measure of dynamic comovement between (possibly many) time series and names it cohesion. The measure is defined in the frequency domain and is appropriate for processes that are costationary, possibly after suitable transformations. In the bivariate case, the measure reduces to dynamic correlation and is related, but not equal, to the well known quantities of coherence and coherency. Dynamic correlation on a frequency band e…
Coincident and Leading Indicators for the Euro Area
This paper proposes a new way to compute a coincident and a leading indicator of economic activity. Our methodology, based on Forni, Hallin, Lippi and Reichlin (2000), reconciles dynamic principal components analysis with dynamic factor analysis. it allows us to extract indicators from a large panel of economic variables (many variables Tot many countries). The procedure is used to estimate coincident and leading indicators fut the EURO area. Unl…
The Generalized Dynamic-Factor Model
This paper proposes a factor model with infinite dynamics and nonorthogonal idiosyncratic components. The model, which we call the generalized dynamic-factor model, is novel to the literature and generalizes the static approximate factor model of Chamberlain and Rothschild (1983), as well as the exact factor model à la Sargent and Sims (1977). We provide identification conditions, propose an estimator of the common components, prove convergence a…
Coincident and Leading Indicators for the Euro Area
This paper proposes a new way to compute a coincident and a leading indicator of economic activity. Our methodology, based on Forni, Hallin, Lippi and Reichlin (2000), reconciles dynamic principal components analysis with dynamic factor analysis. it allows us to extract indicators from a large panel of economic variables (many variables Tot many countries). The procedure is used to estimate coincident and leading indicators fut the EURO area. Unl…
No News in Business Cycles
A structural factor-augmented VAR model is used to evaluate the role of ‘news shocks’ in generating the business cycle. We find that existing small-scale VAR models are affected by ‘non-fundamentalness’ and therefore fail to recover the correct shock and impulse response functions; news shocks have a smaller role in explaining the business cycle than previously found in the literature; their effects are essentially in line with what predicted by …
Noise Bubbles
We introduce imperfect information in stock prices determination. Agents, whose expectations are not assumed to be rational, receive a noisy signal about the structural shock driving future dividend variations. Equilibrium stock prices are decomposed into a fundamental component and a transitory ‘noise bubble’ which can be responsible for boom and bust episodes unrelated to economic fundamentals. We propose a non‐standard VAR procedure to estimat…
The Generalized Dynamic-Factor Model
This paper proposes a factor model with infinite dynamics and nonorthogonal idiosyncratic components. The model, which we call the generalized dynamic-factor model, is novel to the literature and generalizes the static approximate factor model of Chamberlain and Rothschild (1983), as well as the exact factor model à la Sargent and Sims (1977). We provide identification conditions, propose an estimator of the common components, prove convergence a…
A Measure of Comovement for Economic Variables
This paper proposes a measure of dynamic comovement between (possibly many) time series and names it cohesion. The measure is defined in the frequency domain and is appropriate for processes that are costationary, possibly after suitable transformations. In the bivariate case, the measure reduces to dynamic correlation and is related, but not equal, to the well known quantities of coherence and coherency. Dynamic correlation on a frequency band e…
Coincident and Leading Indicators for the Euro Area
This paper proposes a new way to compute a coincident and a leading indicator of economic activity. Our methodology, based on Forni, Hallin, Lippi and Reichlin (2000), reconciles dynamic principal components analysis with dynamic factor analysis. it allows us to extract indicators from a large panel of economic variables (many variables Tot many countries). The procedure is used to estimate coincident and leading indicators fut the EURO area. Unl…
New Eurocoin
Removal of short-run dynamics from a stationary time series to isolate the medium- to long-run component can be obtained by a bandpass filter. However, bandpass filters are infinite moving averages and can therefore deteriorate at the end of the sample. This is a well-known result in the literature isolating the business cycle in integrated series. We show that the same problem arises with our application to stationary time series. In this paper,…
No News in Business Cycles
A structural factor-augmented VAR model is used to evaluate the role of ‘news shocks’ in generating the business cycle. We find that existing small-scale VAR models are affected by ‘non-fundamentalness’ and therefore fail to recover the correct shock and impulse response functions; news shocks have a smaller role in explaining the business cycle than previously found in the literature; their effects are essentially in line with what predicted by …
Noise Bubbles
We introduce imperfect information in stock prices determination. Agents, whose expectations are not assumed to be rational, receive a noisy signal about the structural shock driving future dividend variations. Equilibrium stock prices are decomposed into a fundamental component and a transitory ‘noise bubble’ which can be responsible for boom and bust episodes unrelated to economic fundamentals. We propose a non‐standard VAR procedure to estimat…
Informing DSGE Models Through Dynamic Factor Models
Structural dynamic factor models (SDFM) represent a reliable tool to inform the construction of dynamic stochastic general equilibrium (DSGE) models. The reason is that the log‐linear solution of a DSGE model has a factor structure which ensures consistency between the representations of the two models. We assess the usefulness of SDFM for DSGE analysis by means of simulations. Using a standard DSGE model as the data generating process, we show t…
Common Components Structural VARs
Structural VAR models (SVAR) produce results that can vary dramatically with the choice of variables, because information is deficient. We argue that if the variables of interest belong to a High-Dimensional Factor Model and are replaced in the SVAR by their common components, the information issue finds a solution, provided that the number of common components is larger than the number of structural shocks, so that the SVAR is dynamically singul…
Economics (8 works) · Econometrics (7 works) · Monetary Policy and Economic Impact (7 works) · Computer Science (5 works) · Macroeconomics (5 works) · Mathematics (5 works) · Complex Systems and Time Series Analysis (4 works) · Business cycle (3 works) · Economic theories and models (3 works) · Statistics (3 works)