Financial Social Accounting Matrix Research Articles

The financial sector structure and performance and its impact on the Mexican economy: a perspective from the Financial Social Accounting Matrix

ABSTRACT The study of the financial system, within the context of a Social Accounting Matrix, to identify its potential contribution to the economy and the linkages between the financial and productive sectors, is a topic barely explored, especially in emerging economies. This paper presents the construction of a Financial Social Accounting Matrix for the case of Mexico for the year 2013, using the Top-Down approach. It also presents an analytical tool through multipliers and impact simulations to understand the interconnection of income and expenditure transactions between sectors of the economy, into the intersectoral framework of financial sector flows and funds, identifying which sectors are creditors or debtors. We find that despite encouraging strategic sectors and allocating income to financial companies, the impact generated on other productive sectors is weak. Real estate services is the subsector that generates more monetary units for each exogenous monetary unit received. The methodology can be applied to assess the effects of impact simulations for planning policy, such as knowing the strategic sectors of the economy with greater linkages, and the possibility to assign and redirect financing to promote the consumption and investment capacity of both companies and households.

Building a Financial Social Accounting Matrix for Colombia

This document shows a first approach to build a financial Social Accounting Matrix (SAM) for Colombian economy. In order to do it, it is proposed a methodology to build real SAM and T-accounts for financial sector. Finally, I get mix up real and financial accounts in a financial SAM. In particular, this financial SAM can be used as input for IMMPA model.

Application of Financial Social Accounting Matrix (FSAM) for Analyzing Real-Financial Linkages of Iranian Economy

Prevailing views in Iran suggest that financial sector mobilizes more resource to services than to the commodity producing sectors. On account of double counting in intermediate inputs, the conventional multipliers derived from the Financial Social Accounting Matrix (FSAM) cannot solve this problem. As an alternative to conventional multipliers, FSAM GDP multipliers which indicate the growth performance of financial system of economy are proposed. Using a newly constructed 2016 FSAM for Iran, both conventional and GDP multipliers of Real Social Accounting Matrix (RSAM) and FSAM have been worked out. The overall findings are as follows: First- the average conventional and GDP multipliers in FSAM are larger than their corresponding figures in RSAM. Second- in RSAM, the average conventional multipliers of commodity producing sectors are larger than services whereas the GDP multipliers give the opposite pictures which support the prevailing opinions in Iran. Third- With respect to conventional and GDP multipliers at the sectoral level, the results show that in the case of conventional multipliers, 8 out of 10 top highest multipliers are commodity producing sectors whereas GDP multipliers give exactly the opposite trend which vindicates the resource mobilization of financial sector towards the service sectors.

Macroeconomic lockdown and SMEs: the impact of the COVID-19 pandemic in Spain.

The relative importance of small- and medium-sized enterprises (SMEs) and large firms is a recurrent topic in the small business economics literature. This paper presents a real and financial social accounting matrix (FSAM) capable of distinguishing the direct and indirect effects that are transferred from micro-, small, medium, and large firms to the rest of the economy. We use the hypothetical extraction method (HEM) to explore the sequence of reactions associated with shocks that arise from the COVID-19 lockdown. Using a structural model for the Spanish economy, we identify the role of different firm size categories in the aggregate gross domestic product (GDP). Our results allow us to reconcile the mixed narrative that accompanies the evaluation of the role played by these categories in economic activity by revealing that both SMEs and large firms are important for supporting economic activity. In particular, SMEs help explain 43% of the income and two-thirds of the unemployment decline caused by the COVID-19 pandemic. Our findings also show the importance of conditioning SME industrial policy to sectoral analysis.Plain English summaryThe effects of the macroeconomic lockdown and its transmission to the rest of the economy differ by firm size and across sectors. Using the Spanish context for micro-, small, medium, and large firms, we distinguish the direct and indirect effects caused by the COVID-19 pandemic. The main implications are the following: (1) Research: results emphasize that SMEs and large firms are both important to support economic activity but, in order to account for the relative effects on SMEs, it is crucial to consider the specific sector that receives the disruption. 2) Policy: SMEs are an important focus of business support policies within the EU. According to our estimations, disruptions in SMEs produce larger reductions in demand. These results could support credit policies for SMEs with a strong impact on the aggregate economy due to their greater productive and financial linkages with the domestic economy.

Economic evaluation of transportation projects based on different financing methods: at the framework of financial computable general equilibrium model

Purpose- The purpose of this study is to develop a first fully functional Turkish Financial Computable General Equilibrium (FCGE) model that analyzes the economic impacts of infrastructure investment projects under different financing options. We examine three alterantive financing methods, i.e., public financing with tax revenues and government bonds, public financing with region specific tax policy and private financing. Methodology- The study employs Financial Computable General Equilibrium (FCGE) model. The FCGE model integrates the real economy with the financial one, and traces the flows of financial and real resources among economic agents at the same time. Computable General Equilibrium (CGE) models typically are comparative static equilibrium models of interregional trade and location based in microeconomics, using utility and production functions with substitution between inputs. The transport system enters the spatial economy through the costs of transport services. Transport sub models are applied to feed CGE models with cost changes in the transport sector as a result of policy measures. Our model is composed of a multi-regional financial CGE model and a transport network model. Turkish Multi Regional Computable General Equilibrium model constitutes of 11 regions. The model includes ten producers, one regional household, one national (or central) government and the rest of the world. Findings- The model is designed to analyze the economic effects of fiscal policies such as the transportation investment expenditures and alternative financing approaches on economic growth and welfare. It is possible to estimate growth and distributional effects of each project based on the financing method once the information on the investment expenditures, the construction location and the changes in the accessibility generated by the project are injected into the FCGE model. As a first attempt, we builded a Financial Social Accounting Matrix (SAM) for Turkey that FCGE models need, containing the details of financial institutions and transaction of agents’ assets and liabilities. The model specifies the behaviours of ten different sectors, one household, a central government, and the rest of the world. The model is designed to analyze the impacts of highway development with different financing strategies. We examine three alterantive financing methods: it can (a) public financing with tax revenues and government bonds, (b) public financing with region specific tax policy or (c) private financing. Conclusion- The main contribution of this research is to develop a first fully functional FCGE model to analyze the economic impacts of the infrastructure investment projects and their financing options on growth and welfare in Turkish economy. We develop a first fully functional Turkish Financial Computable General Equilibrium (FCGE) model that analyzes the economic impacts of infrastructure investment projects under different financing options. There are a number of ways to finance highway infrastructure investment: fuel taxes, user fees, trust funds etc. This Financial CGE model is expected to assess the consistency of highway investment programs under different financing options, so the government can make a decision on an approval for the project based according to their benefits and costs on national level.

Economic impact of monetary policy: Focus on real estate sector in Italy

AbstractThis study investigates the nexus between financial market and real estate (RE) sector against the backdrop of ECB's unconventional monetary policy. A financial dynamic computable general equilibrium (DCGE) model is calibrated on the financial social accounting matrix (FSAM) of Italian economy. The findings confirm that the inclusion of financial intermediation into real economy affects the real estate sector's output, value added, and pricing.

Exchange-Rate Policy in a Dollarized Economy: Implications for Growth and Employment in Bolivia

We analyzed the impact of currency devaluation on the Bolivian economy, employing a dynamic and extended version of the PEP 1-1 standard model to simulate effects impact on both the main macroeconomic aggregates and the financial stocks and flows of economic agents. We built a new Financial Social Accounting Matrix for the year 2014 and calibrated the model to it. Besides simulating a devaluation of the nominal exchange rate, we also analyzed a policy-response scenario, an external-shock scenario, and a gradual-devaluation scenario. In the policy-response scenario, devaluation was accompanied by a reduction in government expenses (fiscal adjustment); in the external-shock scenario, devaluation came with an increase in the export price of gas (main export commodity); and, in the gradual-devaluation scenario, the exchange-rate policy relaxed gradually. The external-shock scenario dominated the other scenarios in terms of higher average growth and less average unemployment. The fiscal-adjustment scenario, however, dominated in terms of inflation, though it implied an inflationary shock in 2020.

Unconventional monetary policy and real estate sector: a financial dynamic computable general equilibrium model for Italy

This study investigates the effects of an expansionary monetary policy on the Italian economy and, in particular, on real estate (RE) as a commodity. RE is a key sector for the Italian economy. It has strong interactions with the other sectors, especially with the financial markets. Therefore, we develop a financial dynamic computable general equilibrium model to analyze the response of RE sector to a shock on money supply. The parameters of the model are calibrated on the financial social accounting matrix for Italy that identifies the economic and financial flows in the economic system in a well-defined time period. Our findings confirm that the policy has a positive impact on real economy and on the RE output, value added and pricing.

Forecasting investment and consumption behavior of economic agents through dynamic computable general equilibrium model

Much research has been devoted to examination of the financial easing policy of the European Central Bank (ECB). However, this study is one of the first to use a dynamic micro-founded model to investigate empirically the impact of the ECB’s Quantitative Easing (QE) policy on consumption and investment by economic agents in Italy (households, government, firms, and the rest of the world). For this purpose, we constructed a Financial Social Accounting Matrix (FSAM) for the Italian economy for the year 2009 to calibrate a dynamic computable general equilibrium model (DCGE). This model allowed us to evaluate the direct and indirect impact of money flow on the behavior of consumption and investment. The findings of the study confirmed the positive impact of the ECB’s monetary policy on the level of investment and consumption.

Unconventional monetary policy expansion: the economic impact through a dynamic CGE model

The ongoing economic stagnation and low inflation rates affecting EU have refuelled the debate on the role and the limits of monetary policy in pushing the economic growth. Given the tight margins for fiscal policy for EU state members, traditional and unconventional monetary policies are becoming more looked-for to break out of this condition. However, the main issue on whether the real or nominal aspects prevails still remains. In this situation, a framework able to identify and analyse any interaction between economic and financial flows becomes crucial to detect the dynamics pushing towards expansions or contractions resulting from monetary policies. Therefore, the aim of this paper is to investigate the direct and indirect impact of monetary policies implemented by the European Central Bank on the main Italian macroeconomic variables both in aggregate and disaggregate terms. For this purpose we use dynamic computable general equilibrium (CGE) model calibrated on the financial social accounting matrix for Italian economy.

Unconventional monetary policy expansion: the economic impact through a dynamic CGE model

The ongoing economic stagnation and low inflation rates affecting EU have refuelled the debate on the role and the limits of monetary policy in pushing the economic growth. Given the tight margins for fiscal policy for EU state members, traditional and unconventional monetary policies are becoming more looked-for to break out of this condition. However, the main issue on whether the real or nominal aspects prevails still remains. In this situation, a framework able to identify and analyse any interaction between economic and financial flows becomes crucial to detect the dynamics pushing towards expansions or contractions resulting from monetary policies. Therefore, the aim of this paper is to investigate the direct and indirect impact of monetary policies implemented by the European Central Bank on the main Italian macroeconomic variables both in aggregate and disaggregate terms. For this purpose we use dynamic computable general equilibrium (CGE) model calibrated on the financial social accounting matrix for Italian economy.

Financial Social Accounting Matrix: a useful tool for understanding the macro-financial linkages of an economy

ABSTRACTThis article extends the traditional methodology of social accounting by building a Financial Social Accounting Matrix (FSAM) and a corresponding Satellite Asset–Liability Matrix for Spain. In so doing, the difficulties that typically arise in consolidating data from the National Bureau of Statistics (INE) and the Bank of Spain (BdE) were overcome. This is the first FSAM for the Spanish economy and might provide new tools to deepen the analysis of the financial sector and of the determinants of financial vulnerability associated with interactions with other sectors of the economy. As a novel contribution to the literature, this paper incorporated a structural path analysis grounded in the FSAM multiplier to identify the principal paths through which financial shocks are transmitted.

Structural Path Analysis of Fuel Subsidy and Road Investment Policies: Application of Indonesian Financial Social Accounting Matrix

Structural Path Analysis of Fuel Subsidy and Road Investment Policies: Application of Indonesian Financial Social Accounting Matrix

REAL-FINANCIAL LINKAGES IN THE CANADIAN ECONOMY: AN INPUT–OUTPUT APPROACH

The recent financial crisis highlighted the importance of better understanding the interaction between macroeconomic and financial conditions. In this paper, we provide a financial social accounting matrix for the Canadian economy and use it to assess the strength of real-financial linkages by calculating and comparing multipliers with and without endogenous financial flows. It is found that taking into account financial flows increases the impact of a final demand shock on output by 4–11%. Moreover, between 2008 and 2009H1, the investment decisions of financial institutions together with the fact that non-financial institutions were unwilling or unable to increase their financial liabilities led to estimated declines in all GDP multipliers. The impact of a final demand shock on GDP declined 3–5%, while the impact of an increase in the availability of investment funds fell 30% and 55% for financial and non-financial corporations, respectively.† †The views expressed in this paper are those of the authors. No responsibility for them should be attributed to Statistics Canada.

Real-Financial Linkages in the Canadian Economy: An Input-Output Approach

The purpose of this paper is twofold. First, the authors provide a detailed social accounting matrix (SAM), which incorporates the income and financial flows into the standard input-output matrix, for the Canadian economy for 2004. Second, they use the SAM to assess the strength of the real-financial linkages by calculating and comparing real SAM multipliers and financial social accounting matrix (FSAM) multipliers. For FSAM multipliers, financial flows are endogenous, whereas for real SAM multipliers they are not. The results show that taking into account financial flows increases the impact of a final demand shock on Canadian output. Financial flows also play an important role in determining the cumulative effect of an income shock or the availability of investment funds. Between 2008 and the first half of 2009, financial institutions shifted their investments toward government bonds, short-term paper, and foreign investments. This shift together with the fact that non-financial institutions were unwilling or unable to increase their financial liabilities, led to estimated declines in all GDP multipliers between 2008 and the first half of 2009 (2009H1). The main advantage of using the extended input-output analysis is that it provides a simple framework, with very few assumptions, which allows the assessment of the strength of real-financial linkages by means of multipliers. However, the methodology is subject to the Lucas critique, that as shocks shift prices, agents cannot adjust. Such a framework is, nevertheless, appropriate in short-term impact analysis such as this study.

Turkish Financial Social Accounting Matrix

In this study, the objective is to integrate both financial institutions and financial instruments into the social accounting matrix (SAM) in order to build a coherent financial social accounting matrix for Turkey by using most recent available data (i.e.1996). The SAM became popular and has been frequently utilized by both the developing and the developed countries in analyzing the possible effects of alternative economic policies over different segments of the society. Therefore, the objective of this study is to construct a financial SAM which can be employed by modelers in construction of such models for Turkish economy.

A Financial Social Accounting Matrix for the Integrated Macroeconomic Model for Poverty Analysis: Application to Cameroon with a Fixed-Price Multiplier Analysis

Cameroon is engaged in the Poverty Reduction Strategy Paper (PRSP) process, which emphasizes increased focus on poverty reduction in the design and implementation of growth and adjustment strategies. The Integrated Macroeconomic Model for Poverty Analysis (IMMPA) recently developed at the World Bank provides an analytical structure for supporting the PRSP process and quantifying poverty reduction strategies. Drawing on that framework, the authors provide a detailed financial social accounting matrix (SAM) for the Cameroonian economy to serve as input into the construction of an IMMPA model for Cameroon. An analysis of this financial SAM shows that the dramatic fall in investment during the crisis period persisted in the post-devaluation growth period in the late 1990s. Continued low investment has implications for ongoing high unemployment rates and poor welfare indicators. The authors illustrate this with simulations based on fixed-price multiplier analysis that highlight the potential growth and welfare benefits of increased public investment, following hypothetical debt relief and reduction of external debt servicing within the framework of the heavily indebted poor countries initiative.