Добірка наукової літератури з теми "Growth Rates Volatility"

Purpose – This paper aims to examine whether idiosyncratic volatility and other asset pricing factors predict growth rates of the ten Australian economic indicators. Design/methodology/approach – The authors use the Liew and Vassalou (2000) model augmented with an idiosyncratic volatility factor to investigate the issue. Findings – Using regression analysis, the authors find that the asset pricing factors can be used to predict the growth rates for eight out of the ten economic indicators. Moreover, using portfolio performance analysis, the authors find that high returns of size factor and a book-to-market factor portfolios precede periods of good macroeconomic states, whereas high returns of HIMLI portfolios precede periods of bad macroeconomic states. Originality/value – To the authors’ knowledge, the relationship between idiosyncratic volatility and Australian economic growth has not been investigated explicitly in the literature.

AbstractThis paper provides a user-friendly approach to explain how variation in fundamental price-determining variables ‘translates into’ variation in the fundamental value of equities, based on the standard dividend-growth model. The analysis is illustrated with UK data using estimates of real interest rate forecasts and real dividend growth rate forecasts in the past. An important application of this approach is that stock market volatility can be analysed in terms of its component parts. Actual market volatility does not appear to be excessive when compared with the notional volatility implied by changes over time in our estimates of forecast real interest rates and forecast real dividend growth rates.

Purpose The purpose of this study is to examine the evidences of leverage effects on the conditional volatility of exchange rates because of asymmetric innovations and its spillover effects among the exchange rates of selected emerging and growth-leading economies. Design/methodology/approach The empirical analysis uses the sign bias test and asymmetric generalized autoregressive conditional heteroskedasticity (GARCH) models to capture the leverage effects on conditional volatility of exchange rates and also uses multivariate GARCH (MGARCH) model to address volatility spillovers among the studied exchange rates. Findings The study finds substantial impact of asymmetric innovations (news) on the conditional volatility of exchange rates, where Russian Ruble is showing significant leverage effect followed by Indian Rupee. The exchange rates depict significant mean spillover effects, where Rupee, Peso and Ruble are strongly connected; Real, Rupiah and Lira are moderately connected; and Yuan is the least connected exchange rate within the sample. The study also finds the assimilation of information in foreign exchanges and increased spillover effects in the post 2008 periods. Practical implications The results probably have the implications for international investment and asset management. Portfolio managers could use this research to optimize their international portfolio. Policymakers such as central banks may find the study useful to monitor and design interventions strategies in foreign exchange markets keeping an eye on the nature of movements among these exchange rates. Originality/value This is one of the few empirical research studies that aim to explore the leverage effects on exchange rates and their volatility spillovers among seven emerging and growth-leading economies using advanced econometric methodologies.

The inability to predict the future growth rates and earnings of growth stocks (such as biotechnology and internet stocks) leads to the high volatility of share prices and difficulty in applying the traditional valuation methods. This paper attempts to demonstrate that the high volatility of share prices can nevertheless be used in building a model that leads to a particular cross-sectional size distribution. The model focuses on both transient and steady-state behavior of the market capitalization of the stock, which in turn is modeled as a birth-death process. Numerical illustrations of the cross-sectional size distribution are also presented.

The inability to predict the future growth rates and earnings of growth stocks (such as biotechnology and internet stocks) leads to the high volatility of share prices and difficulty in applying the traditional valuation methods. This paper attempts to demonstrate that the high volatility of share prices can nevertheless be used in building a model that leads to a particular cross-sectional size distribution. The model focuses on both transient and steady-state behavior of the market capitalization of the stock, which in turn is modeled as a birth-death process. Numerical illustrations of the cross-sectional size distribution are also presented.

Purpose The purpose of this paper is to examine the impact of real effective exchange rates (REER), both in terms of levels and volatility, on the export performance of India’s sub-national economies, given the recent slowdown in India’s exports. Design/methodology/approach India’s export distribution is highly asymmetric, with 90 percent of India’s exports concentrated in 11 sub-national economies. Exploiting this concentration, this paper constructs a panel data set using available data between 2002 and 2014 to understand the relationship between REER and exports from the top exporting cluster. Moreover, the paper constructs a sub-national competitiveness index to capture the supply capacity of the states. Findings The empirical findings of this paper reveal that a higher REER volatility deters exports and movements in REER do not matter as much as volatility. The most significant finding of the paper is that state competitiveness is the most crucial factor affecting trade. Therefore, policy makers at the state level must lay more emphasis on the supply side such as addressing logistical bottlenecks to help revive exports growth. Originality/value This study makes a departure from the plethora of extant aggregate-level studies by examining the relationship between REER and exports at the sub-national level for India. Considering the highly skewed distribution of India’s exports, the study provides important insights into the exporting patterns and determinants that are at play at the sub-national level.

Atmospheric new-particle formation (NPF) affects climate by contributing to a large fraction of the cloud condensation nuclei (CCN). Highly oxygenated organic molecules (HOMs) drive the early particle growth and therefore substantially influence the survival of newly formed particles to CCN. Nitrogen oxide (NOx) is known to suppress the NPF driven by HOMs, but the underlying mechanism remains largely unclear. Here, we examine the response of particle growth to the changes of HOM formation caused by NOx. We show that NOx suppresses particle growth in general, but the suppression is rather nonuniform and size dependent, which can be quantitatively explained by the shifted HOM volatility after adding NOx. By illustrating how NOx affects the early growth of new particles, a critical step of CCN formation, our results help provide a refined assessment of the potential climatic effects caused by the diverse changes of NOx level in forest regions around the globe.

Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, 2012.
Cataloged from PDF version of thesis..
Includes bibliographical references (p. 51-52).
The broad literature documents the empirical regularity that slope of the term structure of interest rates is a reliable predictor of future real economic activity. Steeper slopes presage increasing growth, and downward sloping term structures presage declining growth or even recession. Some instances of slope's misleading signals were recorded in 2006 (the term structure was flat, indicating decline in economic activity when high growth continued) and 2008 (the term structure was very steep, predicting economic growth when recession continued and took a deep dive). Moreover, Breeden (2012a) showed that the term structure of interest rates has had less predictive power over the past fifty years than has been found in earlier researches over shorter periods of time. The key idea underlying this paper was to test whether the term structure of volatility and the term structure of inflation combined with the term spread could improve predictions of future economic growth compared to interest rate based forecasts with only one variable. This study finds that while the term structure spread and volatility appear to be statistically significant variables there is little evidence of improved performance compare to interest rate based forecasts with only one variable.
by Maria Khait.
S.M.

Cette thèse étudie comment le taux de change effectif réel (TCER) et ses mesures associées (volatilité du TCER et désalignement du TCER) affectent la croissance de la productivité totale des facteurs (CPTF). Elle analyse également les canaux par lesquels le TCER et ses mesures associées agissent sur la productivité totale des facteurs (PTF). La première partie étudie comment le TCER lui-Même, d'une part, et la volatilité du TCER, d'autre part, influencent la productivité. Une analyse du lien entre le niveau du TCER et la PTF dans le chapitre 1 indique qu'une appréciation de taux de change cause une augmentation de la PTF. Mais cet impact est également non- inéaire: en-Dessous du seuil, le TCER influence négativement la productivité tandis qu'au-Dessus du seuil il agit positivement. Les résultats du chapitre 2 illustrent que la volatilité du TCER affecte négativement la CPTF. Nous avons également constaté que la volatilité du TCER agit sur PTF selon le niveau du développement financier. Pour les pays modérément financièrement développés, la volatilité du TCER réagit négativement sur la productivité et n'a aucun effet sur la productivité pour les niveaux très bas et très élevés du développement financier. La deuxième partie examine les canaux par lesquels le TCER et ses mesures associées influencent la productivité. Les résultats du chapitre 3 illustrent que la volatilité du TCER a un impact négatif élevé sur l'investissement. Ces résultats sont robustes dans les pays à faible revenu et les pays à revenu moyens, et en employant une mesure alternative de volatilité du TCER. Le chapitre 4 montre que le désalignement du taux de change réel et la volatilité du taux de change réel affectent négativement les exportations. Il démontre également que la volatilité du taux de change réel est plus nocive aux exportations que le désalignement. Ces résultats sont corroborés par des résultats sur des sous-Échantillons de pays à bas revenu et à revenu moyen
This dissertation investigates how the real effective exchange rate (REER) and its associated asurements (REER volatility and REER misalignment) affect total factor productivity growth (TFPG). It also analyzes the channels through which the REER and its associated measurements act on total factor productivity (TFP). The first part studies how the REER itself, on the one hand, and the REER volatility, on the other hand, influence productivity. An analysis of the link between the level of REER and TFP in chapter 1 reveals that an exchange rate appreciation causes an increase of TFP. But this impact is also nonlinear: below the threshold, real exchange rate influences negatively productivity while above the threshold it acts positively. The results of chapter 2 illustrate that REER volatility affects negatively TFPG. We also found that REER volatility acts on TFP according to the level of financial development. For moderately financially developed countries, REER volatility reacts negatively on productivity and has no effect on productivity for very low and very high levels of financial development. The second part examines the channels through which the REER and its associated measurements influence productivity. The results of chapter 3 illustrate that the exchange rate volatility has a strong negative impact on investment. This outcome is robust in low income and middle income countries, and by using an alternative measurement of exchange rate volatility. Chapter 4 show that both real exchange rate misalignment and real exchange rate volatility affect negatively exports. It also demonstrates that real exchange rate volatility is more harmful to exports than misalignment. These outcomes are corroborated by estimations on subsamples of Low- ncome and Middle-Income countries

Cette thèse présente de nouveaux résultats théoriques et empiriques sur les propriétés de la dynamique des entreprises, de l'industrie et du commerce international, et vise à répondre à une série de questions de recherche liées à l'explication de l'hétérogénéité des entreprises dans le contexte de l'apprentissage et de la sélection imparfaite des entreprises.Premièrement, nous proposons une enquête de la littérature sur les mécanismes de sélection de marchés. Nous regroupons les travaux de recherche sur ce thème en trois paradigmes théoriques, que nous concilions en termes de lois de sélection. Nous montrons que les trois paradigmes ont convergé vers des mécanismes de sélection fondé sur l'hétérogénéité des entreprises et sur les rendements croissants, qui reposent cependant sur des théories qui diffèrent en termes de sources de rendements croissants, de mécanismes de génération d'hétérogénéité des entreprises, de rationalité des entreprises, et pour l'accent mis sur les états d'équilibre vis-à-vis de la dynamique hors équilibre.Deuxièmement, nous construisons un modèle de commerce international à deux pays avec des entreprises hétérogènes pour étudier les effets que l'apprentissage technologique des entreprises et la sélection imparfaite des marchés exercent sur les flux d'exportation, les parts de marché et les productivités des entreprises. Dans ce modèle nous faisons l'hypothèse que la selection de marché dans chaque pays est guidée par un processus d'urnes de Pólya fini, qui incorpore des rendements croissants dynamiques au niveau de l'entreprise. Nous montrons que, en présence d'une distribution statique de la productivité des entreprises, le processus de sélection du marché conduit au monopole. Lorsque que l'apprentissage de l'entreprise est inclus dans le modèle, les marchés convergent vers des structures non monopolistiques, dont le degré de concurrence dépend de l'ouverture commerciale et de l'intensité de la sélection. Enfin, nous montrons que notre modèle est capable de reproduire conjointement un large ensemble de faits stylisés concernant les flux d'exportation intra-industriels, l'industrie et la dynamique des entreprises. De plus, nous montrons que une augmentation de l'intensité de la competition sur les marchés internationaux augmente la concentration et la volatilité.Troisièmement, nous étudions la relation entre la volatilité des taux de croissance et la taille des entreprises et ses déterminants en utilisant une base de données sur les entreprises manufacturières françaises entre 1993 et 2009. Nous montrons que cette rélation, au niveau agrégé et sectoriel, s'écarte de l'approximation linéaire trouvée dans les études empiriques précédentes. Elle est en effet en forme de J, très raide pour les petites entreprises et plate pour les grandes. Ensuite, nous expliquons ce nouveau résultat empirique à l'aide d'un un modèle de sélection imparfaite axé sur la concurrence des entreprises sur la base de la taille et de la productivité.Enfin, nous étudions les caractéristiques des entreprises qui utilisent l'intelligence artificielle (IA) et le lien entre l'utilisation de l'IA et la productivité à l'aide d'une étude empirique reposant sur une base de données des entreprises françaises en 2018. Nos resultats montrent que les utilisateurs de l'IA ont tendance à être plus grands et plus jeunes que les non-utilisateurs. De plus, l'utilisation de l'IA est positivement liée à plusieurs facteurs complémentaires, comme le capital humain ou la présence d'infrastructures et technologies numériques. Ensuite, nous montrons que les utilisateurs d'IA avec la plus grande taille sont plus productifs, mais que cet advantage est lié à la selection dans d'utilisation de l'IA. Cependant, nous trouvons un lien positif entre l'IA et la productivité pour les développeurs d'IA qui s'étend au-delà de la sélection, en particulier lorsque la croissance de la productivité sur une période suffisamment longue est prise en compte
This dissertation presents new theoretical and empirical evidence on the properties of firms' and industry dynamics and international trade. In particular, this thesis aims at answering a series research questions linked to the explanation of firms' heterogeneity in the context of the most recent findings related to both firms' learning and imperfect selection.First, we provide a survey of the main mechanisms of market selection used in economics. We gather them in three theoretical paradigms, that we try to reconcile in terms of underlying laws of selection. We show that the three paradigms have been converging to selection mechanisms focussing on firm heterogeneity and increasing returns, that are however fostered by theories which differ in terms of sources of increasing returns, generating mechanisms of firm heterogeneity, firm rationality and emphasis on equilibrium states vis-á-vis out-of-equilibrium dynamics. Our discussion suggests that the convergence between the theoretical paradigms is taking place in the direction of research, which is aimed at the replication of empirical patterns related to firm heterogeneity, rather than in the theory underlying selection mechanisms.Second, we build a simple international trade two-country model of competition among heterogeneous firms to study the effects that firm learning and imperfect market selection exert on export flows, market shares and firm productivities. Market selection in each country is driven by a finite pairwise Pólya urn process, which embodies dynamic increasing returns at the firm level. In presence of a static distribution of firm productivity, the market selection process leads to a monopoly. When firm learning is included in the model, markets converge to non-monopolistic structures, whose degree of competition depends on trade openness and selection intensity. Finally, we show that our simple stochastic model with firm learning and imperfect selection is able to jointly reproduce a wide ensemble of stylized facts concerning intra-industry trade, industry and firm dynamics. In addition, we show that trade activities increase concentration and volatility.Third, we investigate the firm growth rates volatility-size relation and its determinants in a comprehensive dataset of French manufacturing firms between 1993 and 2009. Differently from previous contributions, we study the relation using sales data for firms at both the aggregate and sectoral level. First, we show that the relation deviates from the linear approximation found in previous studies. It is indeed J-shaped, very steep for small firms and flat for large ones. Second, we explain this new empirical finding via a tractable model of imperfect selection encompassing firms competing on the basis of both size and productivity. Our contribution suggests that large firms are Gibrat's and that the empirical shape of the firms' growth rates variance-size relation can be explained by imperfect selection mechanisms whose outcomes are mediated by both the strength of shares reallocation and firms' joint heterogeneity in size and productivity.Finally, we investigate the characteristics of firms using Artificial Intelligence (AI) and the link between AI use and productivity in a comprehensive database of French firms in 2018. We find that AI users tend to be larger and younger than non-users. AI use is positively related to several complementary assets, including digital infrastructure, complementary digital technologies, and human capital. Focussing on the AI-productivity nexus, we show that the largest AI users are more productive, but that this premium is related to their selection into AI use. When we consider either all AI users or AI buyers, no average relationship between AI and productivity growth could be retrieved. However, we find a positive AI-productivity link for AI developers, especially when productivity growth over a sufficiently long time period is considered

Introduction – The introduction gives background to exchange rate volatility and the negative effects on economic growth that emerges when the exchange rate volatility is high.  Exchange rate volatility can affect economic growth in different ways such as establishing trade barriers or investment uncertainty. Previous studies have become quite outdated and the studies that have focused around the EMU have only compared smaller economies, hence this paper investigates the topic for developed economies and with new up-to-date data. The paper also examines two different types of exchange rate volatility, effective nominal exchange rate volatility and nominal exchange rate volatility to test if the choice of exchange rate volatility has an impact on the results. The sample for the paper contains the 36 OECD countries and the time period is 2000-2016.   Purpose – The purpose of this study is to explore how exchange rate volatility affects growth for the OECD countries. The paper also looks at what the effect of adopting the Euro as a primary currency has been for the countries in the OECD sample when looking at the exchange rate volatility and economic growth. Method – This study is conducted with a quantitative methodology, investigating a sample of 36 countries over 17 time periods from 2000-2016. The effect from exchange rate volatility on growth is analyzed through a content analysis and four panel-data regressions. This study also introduces a causality test to see if the exchange rate affects the economic growth or if economic growth affects the exchange rate volatility. Conclusion – The paper finds that both measures of exchange rate volatility have a negative effect on economic growth. There is also evidence that adopting the Euro as your currency for the time period has been negative for economic growth. Regarding the causality between exchange rate volatility and economic growth the paper finds evidence for a bidirectional causality, meaning that exchange rate volatility affects economic growth and economic growth affects exchange rate volatility.

The objective of this thesis is to examine real exchange rate volatility, with a particular focus on investigating the causes of exchange rate jumps. While the predominant approach in the literature is to examine the interaction between nominal rigidities and nominal shocks, this thesis examines the volatility that arises from real rigidities and shocks. Trying to better understand the transmission of real shocks to the exchange rate is a worthwhile task, given the substantial evidence that these shocks and rigidities are important for explaining other economic fluctuations. This thesis develops theoretical models that examine the contributions of specific real rigidities to exchange rate volatility. Chapter 1 introduces our baseline specification - a frictionless model, with the exception of capital adjustment costs. This baseline generates very mild exchange rate fluctuations. Additional rigidities are required to generate volatility of the magnitude that is typically observed. Chapter 2 finds that introducing imperfect asset substitutability - specifically, home asset bias - goes a little towards achieving this. When investors are biased, the exchange rate must adjust by more to equilibrate asset markets. This greater burden of adjustment on the exchange rate along the short run path typically translates to larger jumps after shocks. Similarly, Chapter 3 shows that augmenting the baseline with banks and financial frictions raises exchange rate volatility. The key point is that, in the presence of financial frictions, there is a risk premium that widens after negative shocks, increasing the required adjustment of the exchange rate. A fourth chapter extends Chapter 3 and shows that unconventional credit policy, while beneficial in some respects, nonetheless entails nontrivial costs because it invites moral hazard by encouraging banks to be more highly leveraged, which increases exchange rate and consumption volatility. So, the overall message is that, in the presence of plausible real frictions - including (i) capital adjustment costs, (ii) imperfect asset substitutability, and (iii) financial frictions - real shocks can generate a plausibly significant degree of real exchange rate volatility. This thus posits an additional explanation of exchange rate jumps that complements the predominantly monetary literature.

Includes bibliographical references
This thesis focuses on the effects and causes of exchange rate volatility in South Africa. These issues are analysed in three stand-alone but related papers. The first paper (Chapter 2) investigates the impact of real exchange rate volatility on employment growth in the manufacturing sector. The study contributes to the literature on the employment effects of exchange rate volatility in emerging markets given limited studies. This is done by using the Autoregressive Distributed Lag (ARDL) counteraction approach which is able to estimate an error correction form of the model for the variables under investigation. This enables one to analyse the relationship between exchange rate volatility and employment growth. The advantage of this approach is that it performs better in small samples and works well even when the underlying variables are integrated of different orders. Employing quarterly time series data for the period 1995 . 2010, the analysis shows that real exchange rate volatility has a significant contractionary effect on manufacturing employment growth. The study also provides evidence that exchange rate level, output, wages and interest rates have significant effects on manufacturing employment growth. The results suggest that the government can reduce the adverse effects of exchange rate volatility on manufacturing by adopting macroeconomic policies that minimise exchange rate volatility and policies that promote employment creation, for instance, less restrictive policies given that the results show that an increase in interest rates leads to a decline in employment. Coming up with macroeconomic policies that minimise exchange rate volatility requires the knowledge of the causes of exchange rate volatility. As a result, the second paper (Chapter 3) investigates the determinants of exchange rate volatility in South Africa. Few studies investigate the determinants of rand volatility (Arezki, Dumitrescu, Freytag & Quintyn 2014, Farrell 2001). This study contributes to the literature by finding the sources of rand volatility using output volatility, money supply volatility, foreign reverses volatility, commodity price volatility, openness and a dummy for capital account liberalisation as explanatory variables. This is done using GARCH models for the period 1986- 2013 employing monthly time series data. The advantage of GARCH models is that they are able to model and forecast time-varying variance given that the exchange rate behaves similarly to other asset prices, for example, stock prices. The study tests the hypothesis that economic openness leads to a reduction in exchange rate volatility following Hau's (2002) modifications of the New Open Macroeconomics model of Obstfeld & Rogoff (1995, 1996). South Africa is a good case study following the liberalisation of the capital account in March 1995. The results show that switching to a coating exchange rate regime has a significant positive effect on exchange rate volatility. That is, it increases exchange rate volatility. The results also show that trade openness reduces exchange rate volatility using the bilateral exchange rate. The results also show that output, commodity prices, money supply and foreign reserves volatilities significantly influences exchange rate volatility. The study also shows that real factors (commodity prices, output and openness) have relatively larger effects on exchange rate volatility compared to monetary factors. The third paper (Chapter 4) analyses the short run behaviour of the South African rand using daily data. The study contributes to the literature on the causes of exchange rate movements in several ways. First, it uses an event studies approach a la Campbell, Lo & MacKinlay (1997) to answer two research questions. First, what is the impact of South Africa's monetary policy announcements on the rand? Second, what is the impact of South African political events on the rand? The advantage of event studies is that they are able to quantify systematically the abnormal or unexpected impact of an economic or political event on asset prices like the exchange rate. Second, the study focuses on an emerging market given that most studies have mainly focused on developed economies. Third, few studies that use event studies in South Africa focus on stock market reaction to announcements. The results find 8 out of 12 significant cumulative abnormal returns for monetary policy announcements. This suggests that the rand is not only influenced by demand and supply flows but also by news. The study also finds significant cumulative abnormal returns for all the three exchange rates following the Marikana massacre on 16 August 2012 and the release of Nelson Mandela banknotes on 6 November 2012. The ANC elective conference only has significant cumulative abnormal returns using the Rand/US dollar in 2007 and 2012.

The thesis comprises three essays, all of which are empirical studies of different issues on exchange rates. Implementing advanced econometrics methodologies with monthly time series data, these studies focus on macroeconomic determinants to measure the relationships within the variables. The first essay (Chapter Two) re-examines the robustness of the export-led growth hypothesis across the exchange rate regimes in Malaysia. According to the exchange rate regime history, Malaysia experienced three different exchange rate mechanisms from 1990 to 2010. Generally, the results vary across the time and regimes. Specifically, the study suggests bi-directional and/or unidirectional causality between exports and economic growth across the regimes, both in the short-run and long-run. The second essay (Chapter Three) tries to bridge the gap between the exchange rate issues by investigating the impact exchange rate exposure on sector level in Malaysia from October, 1992 to December, 2010. The purpose of this study is to examine the impact of the exchange rate exposure in Malaysia sectorial returns by using an augmented model. Overall, in all instances, the results suggest that the exchange rate exposures in Malaysia can be categorized as the long memory in the volatility process. After investigating currency exposure in two types of models, the results further suggest that the sectors are largely affected by the currency fluctuations. The third essay (Chapter Four) explores the channels and magnitude of exchange rate volatility-export nexus empirically on the export flow of five ASEAN countries namely, Singapore, Malaysia, Thailand, Philippines and Indonesia to the United States from January, 1990 to December, 2010. The major results show that increases in the volatility of the real bilateral exchange rate, exert significant effects upon export demand in the short run in each of the ASEAN countries. This study further suggests significant negative effects from the bilateral exchange rate volatility of exports flow in Singapore, Malaysia and Philippines. However, these findings do not apply to Indonesia and Thailand.

De change, les flux commerciaux ou commerces et la croissance économique de Madagascar. En d’autres termes nous avons étudié les effets de la volatilité et le mésalignement du taux de change sur les exportations, les importations, et la croissance économique. Pour pouvoir réaliser cette étude, nous avons utilisé des données annuelles entre la période 1971-2012 pour les exportations et importations globales, et la période 1990-2011 pour les exportations et importations par secteur. Nous avons mesuré la volatilité à l’aide de deux méthodes, et nous avons obtenu la volatilité par l’écart-type mobile et la volatilité calculée par le GARCH. La méthode de cointégration a été utilisée pour l’étude des variables. Avec le modèle NATREX, le mésalignement a été calculé comme la différence du TCER à l’instant t et TCER d’équilibre. Sur la dernière partie du travail et afin de répondre à notre problématique, nous faisons appel à la méthode SUR (Seemingly Unrelated Regression). Cette méthode nous a permis d’estimer notre modèle à deux equations pour les exportations en volume et les importations en volume. En bref, pour le cas Madagascar, d’une part en considérant l’exportation, le mésalignenemt a un impact positif significatif sur l’exportation globale quelle que soit la définition de la volatilité, en effet la sur-évaluation de l’Ariary augmente l’exportation. Par ailleurs, la volatilité a un impact positif significatif sur l’exportation globale uniquement avec la prise en compte du VOLGARCHTCEN. D’autre part en considérant l’importation, le mésalignenemt a un impact positif significatif sur l’importation globale avec la prise en compte du VOLMASDTCER, et du VOLMASDTCEN, la sur-évaluation de l’Ariary augmente l’importation. La volatilité a un impact positif significatif sur l’importation pour les trois cas suivants : VOLMASDTCEN, VOLGARCHTCER, VOLGARCHTCEN. Avec l’exportation globale ou l’importation globale, le mésalignement n’a pas d’impact significatif sur le taux de croissance, par contre la volatilité a un impact négatif significatif sur le taux de croissance en considérant le VOLMASDTCER, et le VOLMASDTCEN
In this thesis, we tried to know the relationship between the variability of exchange rates, trade flows and economic growth in Madagascar. In other words, we have studied the effects of volatility and misalignment of the exchange rate on exports, imports, and economic growth. To conduct this study, we used annual data from the 1971-2012 period for global exports and imports, and the 1990-2011 period for exports and imports by sector. We measured the volatility using two methods, and we got the volatility by moving standard deviation and volatility calculated by the GARCH. The method of cointegration was used to study the variables. With NATREX model, the misalignment was calculated as the difference between REER at time t and REER equilibrium. On the last part of this work and to resolve our problem, we use the method SUR (Seemingly Unrelated Regression). This method allowed us to estimate our model with two equations for export volumes and import volumes.Finally, the results show that for the case of Madagascar, considering exports, misalignment has a significant positive impact on overall export whatever the definition of volatility, indeed over-evaluation increases export. Then, volatility has a significant positive impact on overall export only with the inclusion of VOLGARCHTCEN. Moreover considering imports, misalignment has a significant positive impact on the overall import with the inclusion of VOLMASDTCER, and VOLMASDTCEN, over-evaluation increases import. The volatility has a significant positive impact on the import in the case of : VOLMASDTCEN, VOLGARCHTCER, VOLGARCHTCEN. With the global export or import, misalignment has no significant impact on the growth rate, however volatility has a significant negative impact on growth rates considering VOLMASDTCER, and VOLMASDTCEN

Over the past few decades, many countries have experienced a marked decline in the volatility of output. However, there is still a significant difference between developed and developing countries in the level of output volatility. A proposed explanation for this phenomenon is the impact of economic policies on output volatility in developing countries. The empirical results reported in this study support this view. Trade openness and discretionary fiscal policy seem to increase volatility in developing countries, while the converse is true in developed countries. Furthermore, a flexible exchange rate regime is desirable to decrease volatility. However, many developing countries still use fixed rates for reasons such as a fear of floating, which contributes to volatility. The impact of monetary policy was found to be stabilising, but this could be the result of a favourable global economic environment. It should be noted, however, that uncontrollable factors such as financial systems and institutions play a vital role in all the above relationships.
Economics
M.Com. (Economics)

碩士
國立高雄科技大學
國際管理碩士學位學程
107
The main objective of this paper is to find a connection between four important macroeconomic variables; foreign direct investment net inflow to Indonesia, stock market prices developments which focus on index LQ 45, exchange rate volatility between Indonesian Rupiah versus Singaporean Dollar and Indonesian economic growth. This study used secondary start from 2006 – 2016. All of data and information were obtained from official Indonesian websites and trusted third party financial websites. Various methodologies were used in this study, example to determine stock prices from year to year using total share return (TSR) and to locate connection between four test variables using Spearman Rho correlation. In order to robust dataset and get solid result, the Bias Corrected accelerated (BCa) technique was used before conduct correlation test and to patch missing data in dataset using multiple imputation technique. The result of this research is still relevant nowadays. Indonesia as one of south east Asia emerging market has a good opportunity in future. However, it still requires foreign investments to maintain Indonesian growth momentum. Stock market with its “hot money” could be a special gift but also could be a serious risk. Exchange rate with its floating exchange regime has a huge influence toward economic growth. If they are miss manage, they would be a serious threat eroding national economic growth.

India opened its stock market to foreign investors in September 1992 and has received portfolio investment from foreigners in the form of foreign institutional investment in equities and other markets including derivatives. It has emerged as one of the most influential groups to play a critical role in the overall performance of the Indian economy. The liberalization of FII flows into the Indian capital market since 1993 has had a significant impact on the economy. With increased volatility in exchange rate and to mitigate the risk arising out of excess volatility, currency futures were introduced in India in 2008, which is considered a second important structural change. This chapter examines the impact of the Foreign Institutional Investors (FIIs) on the exchange rate and analyzes the relationship between FII and Indian Rupee-US Dollar exchange rates.

This chapter evaluates the zero interest rate policy and quantitative easing. Short-term interest rates in Japan had already reached close to zero percent by the mid-1990s, but a zero interest rate policy in the literal sense, coupled with a form of forward guidance, was embraced by the Bank of Japan in February of 1999. In retrospect, this was the start of the unconventional monetary policy that has been ongoing in Japan ever since and subsequently was adopted by many central banks in developed economies. The next year, amid a heated debate, the zero interest rate policy was terminated, but against the backdrop of a global economic downturn following the bursting of the dot-com bubble, the bank decided to move back to zero and adopt so-called quantitative easing. Meanwhile, the global economy emerged from its slump to resume what was dubbed the Great Moderation period of extended growth with relatively little financial volatility from 1982 to 2007. In an environment of improving global growth, the bank ended its quantitative easing program in March of 2006 and then raised interest rates in July of that year.

This chapter investigates how changes in employment and poverty relate to each other across the European Union’s Member States. Large employment volatility was accompanied by sizable changes in poverty rates between 2005 and 2012. Based on panel regression results, the poverty to employment elasticity was estimated to be around 25% on average. The role of changes in the poverty rates of individuals in jobless and non-jobless households and of changes in the share of those in jobless households differs greatly across countries. The success of poverty reduction depends to a large extent on three factors: the dynamics of overall employment growth, the fair distribution of employment growth across households with different levels of work intensity, and properly designed social welfare systems to smooth out income losses for families in need.

Growth has suffered from a rise in hurdle rates, due to the change in management incentives, probably amplified by misleading publicity about the cost of equity capital, which is commonly claimed to be a multiple of the real cost. The bonus culture encourages managements to misrepresent RoEs, so in bad times companies publish abysmal rather than merely bad profits, with the result that subsequent profits are overstated. The swings from understated to overstated increase published profit volatility. After being similar for fifty years, published profits have since 2000 become four times more volatile than national account profits. Claims that low investment and high margins are due to increased monopoly are shaky. The bonus culture is a better explanation as, among other things, it also accounts for the different levels of investment by quoted and unquoted companies and for the increased volatility of published profits.

Macroeconomic summary Several factors contributed to an increase in projected inflation on the forecast horizon, keeping it above the target rate. These included inflation in December that surpassed expectations (5.62%), indexation to higher inflation rates for various baskets in the consumer price index (CPI), a significant real increase in the legal minimum wage, persistent external and domestic inflationary supply shocks, and heightened exchange rate pressures. The CPI for foods was affected by the persistence of external and domestic supply shocks and was the most significant contributor to unexpectedly high inflation in the fourth quarter. Price adjustments for fuels and certain utilities can explain the acceleration in inflation for regulated items, which was more significant than anticipated. Prices in the CPI for goods excluding food and regulated items also rose more than expected. This was partly due to a smaller effect on prices from the national government’s VAT-free day than anticipated by the technical staff and more persistent external pressures, including via peso depreciation. By contrast, the CPI for services excluding food and regulated items accelerated less than expected, partly reflecting strong competition in the communications sector. This was the only major CPI basket for which prices increased below the target inflation rate. The technical staff revised its inflation forecast upward in response to certain external shocks (prices, costs, and depreciation) and domestic shocks (e.g., on meat products) that were stronger and more persistent than anticipated in the previous report. Observed inflation and a real increase in the legal minimum wage also exceeded expectations, which would boost inflation by affecting price indexation, labor costs, and inflation expectations. The technical staff now expects year-end headline inflation of 4.3% in 2022 and 3.4% in 2023; core inflation is projected to be 4.5% and 3.6%, respectively. These forecasts consider the lapse of certain price relief measures associated with the COVID-19 health emergency, which would contribute to temporarily keeping inflation above the target on the forecast horizon. It is important to note that these estimates continue to contain a significant degree of uncertainty, mainly related to the development of external and domestic supply shocks and their ultimate effects on prices. Other contributing factors include high price volatility and measurement uncertainty related to the extension of Colombia’s health emergency and tax relief measures (such as the VAT-free days) associated with the Social Investment Law (Ley de Inversión Social). The as-yet uncertain magnitude of the effects of a recent real increase in the legal minimum wage (that was high by historical standards) and high observed and expected inflation, are additional factors weighing on the overall uncertainty of the estimates in this report. The size of excess productive capacity remaining in the economy and the degree to which it is closing are also uncertain, as the evolution of the pandemic continues to represent a significant forecast risk. margin, could be less dynamic than expected. And the normalization of monetary policy in the United States could come more quickly than projected in this report, which could negatively affect international financing costs. Finally, there remains a significant degree of uncertainty related to the duration of supply chocks and the degree to which macroeconomic and political conditions could negatively affect the recovery in investment. The technical staff revised its GDP growth projection for 2022 from 4.7% to 4.3% (Graph 1.3). This revision accounts for the likelihood that a larger portion of the recent positive dynamic in private consumption would be transitory than previously expected. This estimate also contemplates less dynamic investment behavior than forecast in the previous report amid less favorable financial conditions and a highly uncertain investment environment. Third-quarter GDP growth (12.9%), which was similar to projections from the October report, and the fourth-quarter growth forecast (8.7%) reflect a positive consumption trend, which has been revised upward. This dynamic has been driven by both public and private spending. Investment growth, meanwhile, has been weaker than forecast. Available fourth-quarter data suggest that consumption spending for the period would have exceeded estimates from October, thanks to three consecutive months that included VAT-free days, a relatively low COVID-19 caseload, and mobility indicators similar to their pre-pandemic levels. By contrast, the most recently available figures on new housing developments and machinery and equipment imports suggest that investment, while continuing to rise, is growing at a slower rate than anticipated in the previous report. The trade deficit is expected to have widened, as imports would have grown at a high level and outpaced exports. Given the above, the technical staff now expects fourth-quarter economic growth of 8.7%, with overall growth for 2021 of 9.9%. Several factors should continue to contribute to output recovery in 2022, though some of these may be less significant than previously forecast. International financial conditions are expected to be less favorable, though external demand should continue to recover and terms of trade continue to increase amid higher projected oil prices. Lower unemployment rates and subsequent positive effects on household income, despite increased inflation, would also boost output recovery, as would progress in the national vaccination campaign. The technical staff expects that the conditions that have favored recent high levels of consumption would be, in large part, transitory. Consumption spending is expected to grow at a slower rate in 2022. Gross fixed capital formation (GFCF) would continue to recover, approaching its pre-pandemic level, though at a slower rate than anticipated in the previous report. This would be due to lower observed GFCF levels and the potential impact of political and fiscal uncertainty. Meanwhile, the policy interest rate would be less expansionary as the process of monetary policy normalization continues. Given the above, growth in 2022 is forecast to decelerate to 4.3% (previously 4.7%). In 2023, that figure (3.1%) is projected to converge to levels closer to the potential growth rate. In this case, excess productive capacity would be expected to tighten at a similar rate as projected in the previous report. The trade deficit would tighten more than previously projected on the forecast horizon, due to expectations of an improved export dynamic and moderation in imports. The growth forecast for 2022 considers a low basis of comparison from the first half of 2021. However, there remain significant downside risks to this forecast. The current projection does not, for example, account for any additional effects on economic activity resulting from further waves of COVID-19. High private consumption levels, which have already surpassed pre-pandemic levels by a large margin, could be less dynamic than expected. And the normalization of monetary policy in the United States could come more quickly than projected in this report, which could negatively affect international financing costs. Finally, there remains a significant degree of uncertainty related to the duration of supply chocks and the degree to which macroeconomic and political conditions could negatively affect the recovery in investment. External demand for Colombian goods and services should continue to recover amid significant global inflation pressures, high oil prices, and less favorable international financial conditions than those estimated in October. Economic activity among Colombia’s major trade partners recovered in 2021 amid countries reopening and ample international liquidity. However, that growth has been somewhat restricted by global supply chain disruptions and new outbreaks of COVID-19. The technical staff has revised its growth forecast for Colombia’s main trade partners from 6.3% to 6.9% for 2021, and from 3.4% to 3.3% for 2022; trade partner economies are expected to grow 2.6% in 2023. Colombia’s annual terms of trade increased in 2021, largely on higher oil, coffee, and coal prices. This improvement came despite increased prices for goods and services imports. The expected oil price trajectory has been revised upward, partly to supply restrictions and lagging investment in the sector that would offset reduced growth forecasts in some major economies. Elevated freight and raw materials costs and supply chain disruptions continue to affect global goods production, and have led to increases in global prices. Coupled with the recovery in global demand, this has put upward pressure on external inflation. Several emerging market economies have continued to normalize monetary policy in this context. Meanwhile, in the United States, the Federal Reserve has anticipated an end to its asset buying program. U.S. inflation in December (7.0%) was again surprisingly high and market average inflation forecasts for 2022 have increased. The Fed is expected to increase its policy rate during the first quarter of 2022, with quarterly increases anticipated over the rest of the year. For its part, Colombia’s sovereign risk premium has increased and is forecast to remain on a higher path, to levels above the 15-year-average, on the forecast horizon. This would be partly due to the effects of a less expansionary monetary policy in the United States and the accumulation of macroeconomic imbalances in Colombia. Given the above, international financial conditions are projected to be less favorable than anticipated in the October report. The increase in Colombia’s external financing costs could be more significant if upward pressures on inflation in the United States persist and monetary policy is normalized more quickly than contemplated in this report. As detailed in Section 2.3, uncertainty surrounding international financial conditions continues to be unusually high. Along with other considerations, recent concerns over the potential effects of new COVID-19 variants, the persistence of global supply chain disruptions, energy crises in certain countries, growing geopolitical tensions, and a more significant deceleration in China are all factors underlying this uncertainty. The changing macroeconomic environment toward greater inflation and unanchoring risks on inflation expectations imply a reduction in the space available for monetary policy stimulus. Recovery in domestic demand and a reduction in excess productive capacity have come in line with the technical staff’s expectations from the October report. Some upside risks to inflation have materialized, while medium-term inflation expectations have increased and are above the 3% target. Monetary policy remains expansionary. Significant global inflationary pressures and the unexpected increase in the CPI in December point to more persistent effects from recent supply shocks. Core inflation is trending upward, but remains below the 3% target. Headline and core inflation projections have increased on the forecast horizon and are above the target rate through the end of 2023. Meanwhile, the expected dynamism of domestic demand would be in line with low levels of excess productive capacity. An accumulation of macroeconomic imbalances in Colombia and the increased likelihood of a faster normalization of monetary policy in the United States would put upward pressure on sovereign risk perceptions in a more persistent manner, with implications for the exchange rate and the natural rate of interest. Persistent disruptions to international supply chains, a high real increase in the legal minimum wage, and the indexation of various baskets in the CPI to higher inflation rates could affect price expectations and push inflation above the target more persistently. These factors suggest that the space to maintain monetary stimulus has continued to diminish, though monetary policy remains expansionary. 1.2 Monetary policy decision Banco de la República’s board of directors (BDBR) in its meetings in December 2021 and January 2022 voted to continue normalizing monetary policy. The BDBR voted by a majority in these two meetings to increase the benchmark interest rate by 50 and 100 basis points, respectively, bringing the policy rate to 4.0%.

The Colombian financial system has not suffered major structural disruptions during these months of deep economic contraction and has continued to carry out its basic functions as usual, thus facilitating the economy's response to extreme conditions. This is the result of the soundness of financial institutions at the beginning of the crisis, which was reflected in high liquidity and capital adequacy indicators as well as in the timely response of various authorities. Banco de la República lowered its policy interest rates 250 points to 1.75%, the lowest level since the creation of the new independent bank in 1991, and provided ample temporary and permanent liquidity in both pesos and foreign currency. The Office of the Financial Superintendent of Colombia, in turn, adopted prudential measures to facilitate changes in the conditions for loans in effect and temporary rules for rating and loan-loss provisions. Finally, the national government expanded the transfers as well as the guaranteed credit programs for the economy. The supply of real credit (i.e. discounting inflation) in the economy is 4% higher today than it was 12 months ago with especially marked growth in the housing (5.6%) and commercial (4.7%) loan portfolios (2.3% in consumer and -0.1% in microloans), but there have been significant changes over time. During the first few months of the quarantine, firms increased their demands for liquidity sharply while consumers reduced theirs. Since then, the growth of credit to firms has tended to slow down, while consumer and housing credit has grown. The financial system has responded satisfactorily to the changes in the respective demands of each group or sector and loans may grow at high rates in 2021 if GDP grows at rates close to 4.6% as the technical staff at the Bank expects; but the forecasts are highly uncertain. After the strict quarantine implemented by authorities in Colombia, the turmoil seen in March and early April, which was evident in the sudden reddening of macroeconomic variables on the risk heatmap in Graph A,[1] and the drop in crude oil and coal prices (note the high volatility registered in market risk for the region on Graph A) the local financial markets stabilized relatively quickly. Banco de la República’s credible and sustained policy response played a decisive role in this stabilization in terms of liquidity provision through a sharp expansion of repo operations (and changes in amounts, terms, counterparties, and eligible instruments), the purchases of public and private debt, and the reduction in bank reserve requirements. In this respect, there is now abundant aggregate liquidity and significant improvements in the liquidity position of investment funds. In this context, the main vulnerability factor for financial stability in the short term is still the high degree of uncertainty surrounding loan quality. First, the future trajectory of the number of people infected and deceased by the virus and the possible need for additional health measures is uncertain. For that reason, there is also uncertainty about the path for economic recovery in the short and medium term. Second, the degree to which the current shock will be reflected in loan quality once the risk materializes in banks’ financial statements is uncertain. For the time being, the credit risk heatmap (Graph B) indicates that non-performing and risky loans have not shown major deterioration, but past experience indicates that periods of sharp economic slowdown eventually tend to coincide with rises in non-performing loans: the calculations included in this report suggest that the impact of the recession on credit quality could be significant in the short term. This is particularly worrying since the profitability of credit establishments has been declining in recent months, and this could affect their ability to provide credit to the real sector of the economy. In order to adopt a forward-looking approach to this vulnerability, this Report presents several stress tests that evaluate the resilience of the liquidity and capital adequacy of credit institutions and investment funds in the event of a hypothetical scenario that seeks to simulate an extreme version of current macroeconomic conditions. The results suggest that even though there could be strong impacts on the credit institutions’ volume of credit and profitability under such scenarios, aggregate indicators of total and core capital adequacy will probably remain at levels that are above the regulatory limits over the horizon of a year. At the same time, the exercises highlight the high capacity of the system's liquidity to face adverse scenarios. In compliance with its constitutional objectives and in coordination with the financial system's security network, Banco de la República will continue to closely monitor the outlook for financial stability at this juncture and will make the decisions that are necessary to ensure the proper functioning of the economy, facilitate the flow of sufficient credit and liquidity resources, and further the smooth operation of the payment systems. Juan José Echavarría Governor