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Essays on Production-based Exchange Rates and Uncertainty

Essays on Production-based Exchange Rates and Uncertainty
Author: Luis Iván Alfaro Dardon
Publisher:
Total Pages: 159
Release: 2017
Genre: Finance
ISBN:

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This dissertation examines both the determinants and the effects of exchange rate dynamics. The work is both theoretical and empirical and examines exchange rates from the perspective of investment and production activity. The dissertation is divided into three chapters.


Essays on Risk and Uncertainty in Economics and Finance

Essays on Risk and Uncertainty in Economics and Finance
Author: Jorge Mario Uribe Gil
Publisher: Ed. Universidad de Cantabria
Total Pages: 212
Release: 2022-11-22
Genre: Business & Economics
ISBN: 8417888756

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This book adds to the resolution of two problems in finance and economics: i) what is macro-financial uncertainty? : How to measure it? How is it different from risk? How important is it for the financial markets? And ii) what sort of asymmetries underlie financial risk and uncertainty propagation across the global financial markets? That is, how risk and uncertainty change according to factors such as market states or market participants. In Chapter 2, which is entitled “Momentum Uncertainties”, the relationship between macroeconomic uncertainty and the abnormal returns of a momentum trading strategy in the stock market is studies. We show that high levels of uncertainty in the economy impact negatively and significantly the returns of a portfolio of stocks that consist of buying past winners and selling past losers. High uncertainty reduces below zero the abnormal returns of momentum, extinguishes the Sharpe ratio of the momentum strategy, while increases the probability of momentum crashes both by increasing the skewness and the kurtosis of the momentum return distribution. Uncertainty acts as an economic regime that underlies abrupt changes over time of the returns generated by momentum strategies. In Chapter 3, “Measuring Uncertainty in the Stock Market”, a new index for measuring stock market uncertainty on a daily basis is proposed. The index considers the inherent differentiation between uncertainty and the common variations between the series. The second contribution of chapter 3 is to show how this financial uncertainty index can also serve as an indicator of macroeconomic uncertainty. Finally, the dynamic relationship between uncertainty and the series of consumption, interest rates, production and stock market prices, among others, is analized. In chapter 4: “Uncertainty, Systemic Shocks and the Global Banking Sector: Has the Crisis Modified their Relationship?” we explore the stability of systemic risk and uncertainty propagation among financial institutions in the global economy, and show that it has remained stable over the last decade. Additionally, a new simple tool for measuring the resilience of financial institutions to these systemic shocks is provided. We examine the characteristics and stability of systemic risk and uncertainty, in relation to the dynamics of the banking sector stock returns. This sort of evidence is supportive of past claims, made in the field of macroeconomics, which hold that during the global financial crisis the financial system may have faced stronger versions of traditional shocks rather than a new type of shock. In chapter 5, “Currency downside risk, liquidity, and financial stability”, downside risk propagation across global currency markets and the ways in which it is related to liquidity is analyzed. Two primary contributions to the literature follow. First, tail-spillovers between currencies in the global FX market are estimated. This index is easy to build and does not require intraday data, which constitutes an important advantage. Second, we show that turnover is related to risk spillovers in global currency markets. Chapter 6 is entitled “Spillovers from the United States to Latin American and G7 Stock Markets: A VAR-Quantile Analysis”. This chapter contributes to the studies of contagion, market integration and cross-border spillovers during both regular and crisis episodes by carrying out a multivariate quantile analysis. It focuses on Latin American stock markets, which have been characterized by a highly positive dynamic in recent decades, in terms of market capitalization and liquidity ratios, after a far-reaching process of market liberalization and reforms to pension funds across the continent during the 80s and 90s. We document smaller dependences between the LA markets and the US market than those between the US and the developed economies, especially in the highest and lowest quantiles.


Monetary Policy, Capital Flows and Exchange Rates

Monetary Policy, Capital Flows and Exchange Rates
Author: David G. Dickinson
Publisher: Psychology Press
Total Pages: 316
Release: 2002
Genre: Business & Economics
ISBN: 9780415251358

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Max Fry was known internationally for his research on international and domestic financial issues. This book draws together contributions from a range of academic and policy-making friends and colleagues.


Exchange-rate Variability and Trade

Exchange-rate Variability and Trade
Author: Jan Kees Martijn
Publisher: Purdue University Press
Total Pages: 292
Release: 1993
Genre: Business & Economics
ISBN:

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Contains essays on the impact of exchange-rate variability on trade policy and trade flows


Essays on Exchange Rates

Essays on Exchange Rates
Author: Wenbo Zhou
Publisher:
Total Pages: 109
Release: 2017
Genre:
ISBN:

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This dissertation studies the forward premium puzzle (FPP) and short-term exchange rate forecasting. Chapter 1 studies the empirical behavior of the FPP over different subsamples instead of an average effect for the whole sample period as what is typically done in the literature. We find that the estimated slope coefficients from the Fama regression vary considerably from period to period. The signs of the slope estimate could be both significantly positive and negative. Our contribution is to show that the variation of the slope estimates is not random, rather it is driven by a common factor. We document a link between the variation and investors' long-run uncertainty about the economy. The long-run uncertainty index is specific to individual countries and defined as either a large fall in the real GDP growth rate or an inflation hike compared to past levels. We find that the long-run uncertainty index and its lags contribute to the positiveness of the slope estimate. The effect lasts longer for developed countries than emerging ones. The FPP exists if there is no long-run uncertainty about the economy but disappears with such uncertainty. Chapter 2 provides a potential theoretical framework to understand the empirical facts described in Chapter 1 based on Li and Tornell (2015). They show that the robustness against model misspecification can generate both positive and negative Fama slope coefficients, depending on investors' beliefs about the relative importance of transitory and persistent interest rate shocks. But they miss one step linking the economic fundamentals to the assumed interest rate differential model. We fill the gap using the long-run risk model with two variables: real consumption growth and inflation. We map the persistent interest rate shocks to long-run shocks to either consumption growth or inflation, which matches the long-run uncertainty defined in Chapter 1. We then qualitatively explain the empirical facts of time-varying slope estimates. Chapter 3 implements an empirical forecasting strategy based on what the Federal Open Market Committee (FOMC) says after their regular meetings. We use several techniques from natural language processing including bag-of-words, latent semantic analysis and vector space model to construct nontraditional predictors from three types of text documents released by the FOMC. We apply a machine learning algorithm called support vector machine to forecast individual G10 currencies and also build a portfolio of all G10 currencies. For the portfolio, our out-of-sample forecasts have success ratios more than 50\% for short-term prediction (less than 6 weeks) except for the 1-month horizon. Our best performance can be found for 1-week forecasting horizon. Eight out of nine currencies, as well as the portfolio, can beat the random walk model significantly using the weighted directional test.


Essays on Economic Uncertainty and Macro-finance

Essays on Economic Uncertainty and Macro-finance
Author: Yang Liu
Publisher:
Total Pages: 332
Release: 2017
Genre:
ISBN:

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This dissertation studies topics in macro-finance with a focus on economic uncertainty. The first chapter (Government Debt and Risk Premia) studies the implications of government debt for asset prices. I document a set of new facts that government debt is related to risk premia in various asset markets.First, the debt-to-GDP ratio positively predicts excess stock returns. The forecast power is compelling, and it outperforms many popular predictors. Second, higher debt-to-GDP ratio is correlated with higher credit risk premia in both corporate bond excess returns and yield spreads. Third, higher debt-to-GDP ratio is associated with lower real risk-free rate. Fourth, higher debt-to-GDP ratio predicts lower average returns on government debt. Expected return variation contributes to a sizable amount of the volatility of the debt-to-GDP ratio. Fifth, debt-to-GDP ratio positively comoves with fiscal policy uncertainty. Fiscal uncertainty also has direct effects on the asset prices consistent with the effect of debt-to-GDP ratio. I rationalize these empirical findings in a general equilibrium model featuring recursive preferences, endogenous growth, and time-varying fiscal uncertainty. In the model, the tax risk premium is sizable and its time variation is driven by fiscal uncertainty. Furthermore, the model generates an endogenous positive relationship between the debt-to-GDP ratio and fiscal uncertainty: fiscal uncertainty increases debt valuation through discount rate channel whereas higher debt conversely raises uncertainty in future fiscal consolidations. In the second chapter (Volatility Risk Pass-Through), we estimate and explain the international transmission of output volatility shocks to both currencies and international quantity dynamics. We produce novel empirical evidence on the relevance of output volatility (vol) shocks for both currency and international quantity dynamics. Focusing on G-17 countries, we document several facts: (1) consumption and output vols are imperfectly correlated within countries; (2) across countries, consumption vol is more correlated than output vol; (3) the pass-through of relative output vol shocks onto relative consumption vol is moderate, especially if the uncertainty shocks originate from small countries; and (4) consumption differentials vol and exchange rate vol are disconnected, in contrast to the perfect correlation implied by a model of perfect risk-sharing with time-additive preferences. We rationalize these findings in a frictionless model with multiple goods and recursive preferences featuring a novel-and-rich risk-sharing of vol shocks. The third chapter (Volatility, Intermediaries, and Exchange Rates) studies how financial market volatility drives exchange rates through the risk management practice of financial intermediaries. We build a model in which the major participants in the international financial market are levered intermediaries subject to Value-at-Risk constraints. Higher portfolio volatility translates into tighter funding conditions and increased marginal value of wealth. Thus, foreign currency is expected to appreciate. Our model can resolve the Backus-Smith puzzle, the forward premium puzzle, and the exchange rate volatility puzzle quantitatively. Our empirical test verifies two implications of the model that both financial market volatility and funding condition measurement have predictive power on exchange rates.