Jacopo Bassano freskomaalarina : Cartiglianon ja Enegon kirkkojen freskot: konteksti, rekonstruktio ja tulkinta

The object of this study is Jacopo Bassano (c. 1510 1592) as a fresco painter and the significance of frescoes in his late production. The research focuses on the only surviving cycle of frescoes of his later years in the Cartigliano parish church, bearing the date 1575. The other cycle studied here was painted for the 16th century parish church of Enego. It contained one of the most extensive fresco decorations executed by Jacopo Bassano together with his eldest son Francesco. However, nothing has survived of the fresco cycle and the ceiling paintings of the church, nor is any visual documentation of them left. Only the small altarpiece attributed to Jacopo Bassano and depicting Saints Justine, Sebastian, Anthony Abbott, and Roch (dated to c. 1555/1560) has been preserved. I have suggested that the frescoes of the Cartigliano parish church should be examined in the interpretational context of the spirituality of the post-Tridentine period. This period frames the historical context for the frescoes and functions as a basis for the iconographical interpretation that I have proposed. I have shown that the iconographic programme of the frescoes in the choir of the Cartigliano parish church has obvious points of contact with the Catholic doctrines reconfirmed by the Council of Trent (1545 1563). I also argue that the fresco cycle and the ceiling paintings of the Enego church should be placed in the same interpretational context as the frescoes of Cartigliano. I present a reconstruction of the frescoes in the choir attributed to Jacopo Bassano and of those on the walls of the nave attributed to his son Francesco Bassano. According to my reconstruction, the frescoes in the choir and nave walls formed a coherent cycle with a unitary iconographic programme which included the 28 paintings with Old Testament subjects in the nave ceiling. The reconstruction includes the dating and the iconography of the fresco programme and its interpretative basis. The reconstruction is based on visitation records and inventories from the 16th and 17th centuries as well as on the oldest relevant literature, namely the descriptions offered by Carlo Ridolfi (1648) and G. B. Verci (1775). I also consider the relationship of the large compositional sketches attributed to Jacopo Bassano and depicting Christological subjects to the lost frescoes in Enego. These studies have been executed with coloured chalks, and many of them are also dated 1568 or 1569 by the painter. I suggest in this study that these large studies in coloured chalks were preparatory drawings for the fresco cycle in Enego, depicting scenes from the life and suffering of Christ. All the subjects of the aforesaid drawings were included in the Enego cycle.

Dynamic Factor Models and Forecasting Finnish Macroeconomic Variables

In recent years, thanks to developments in information technology, large-dimensional datasets have been increasingly available. Researchers now have access to thousands of economic series and the information contained in them can be used to create accurate forecasts and to test economic theories. To exploit this large amount of information, researchers and policymakers need an appropriate econometric model.Usual time series models, vector autoregression for example, cannot incorporate more than a few variables. There are two ways to solve this problem: use variable selection procedures or gather the information contained in the series to create an index model. This thesis focuses on one of the most widespread index model, the dynamic factor model (the theory behind this model, based on previous literature, is the core of the first part of this study), and its use in forecasting Finnish macroeconomic indicators (which is the focus of the second part of the thesis). In particular, I forecast economic activity indicators (e.g. GDP) and price indicators (e.g. consumer price index), from 3 large Finnish datasets. The first dataset contains a large series of aggregated data obtained from the Statistics Finland database. The second dataset is composed by economic indicators from Bank of Finland. The last dataset is formed by disaggregated data from Statistic Finland, which I call micro dataset. The forecasts are computed following a two steps procedure: in the first step I estimate a set of common factors from the original dataset. The second step consists in formulating forecasting equations including the factors extracted previously. The predictions are evaluated using relative mean squared forecast error, where the benchmark model is a univariate autoregressive model. The results are dataset-dependent. The forecasts based on factor models are very accurate for the first dataset (the Statistics Finland one), while they are considerably worse for the Bank of Finland dataset. The forecasts derived from the micro dataset are still good, but less accurate than the ones obtained in the first case. This work leads to multiple research developments. The results here obtained can be replicated for longer datasets. The non-aggregated data can be represented in an even more disaggregated form (firm level). Finally, the use of the micro data, one of the major contributions of this thesis, can be useful in the imputation of missing values and the creation of flash estimates of macroeconomic indicator (nowcasting).