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This study proposes a revolutionary theory of business cycles, arguing that they are not market failures but rather endogenous and essential for maximizing economic efficiency. To demonstrate our theory, we introduce the Augmented National Income Equilibrium Model Business Cycle, which comprises income, consumption, investment, the pure interest rate (R), and the potential return on investment (P RI). Through heuristic application of the model, we demonstrate how the dynamic interplay of these components generates business cycles that continuously clear without achieving traditional equilibrium. Our model shows that (i) the Central Growth Rate (CGR), which represents the long-term income growth trend, establishes the upper and lower bounds for the oscillatory relationship between changes consumption and investment when considered independently of the absolute income level, ensuring long-term stability within cyclical dynamics; (ii) R, which represents the time preference for consumption, closely tracks the CGR, mediating income allocation between consumption and investment; and (iii) continuous oscillation of the PRI-R Differential, which we define as (P RI-R), is the primary driver of the business cycle, dynamically guiding capital allocation decisions. Our study empirically confirms that oscillations in consumption and investment fully account for GDP cyclicality. While shocks and other destabilizing influences undoubtedly play a role when they occur, the Augmented NIE Model Business Cycle demonstrates that cyclical behavior emerges even in their absence. When we remove the influence of the absolute level of income on consumption This working paper represents the formal development of a theory that has informed my market analysis for nearly 40 years. The initial ideas were conceived around the time of my book, The Speculator's Edge, in 1989, during my career as a professional speculator. Comments and feedback are welcome at [email protected].
2020
Chapter 1-Do Credit Booms Predict U.S. Recessions? This paper investigates the role of bank credit in predicting U.S. recessions since the 1960s in the context of a bivariate probit model. A set of results emerge. First, credit booms are shown to have strong positive effects in predicting declines in the business cycle at horizons ranging from six to nine months. Second, by isolating the effect of credit booms, I identify their contributions to recession probabilities which range between three and four percentage points at a horizon of six months. Third, the out-of-sample performance of the model is tested on the most recent credit-driven recession, the Great Recession of 2008. The model performs better than a more parsimonious version where we restrict the effect of credit booms on the business cycle in the system to be zero. Chapter 2-Credit Fluctuations and Neglected Crash Risk in U.S. Bank Returns Using U.S. quarterly data from 1960, the paper studies the interaction between bank stock returns and aggregate credit fluctuations on a set of economic dimensions. I investigate the source of neglected crash risk in U.S. bank returns using a new deviation measure of aggregate loans per capita called ltd. A one standard deviation increase in ltd decreases bank stock returns by 5%, and their dividend growth by almost 6% over the following year. This variable This dissertation is the culmination of five years of work that started in 2015 when I moved to New York to pursue my doctorate degree in economics. First and foremost, I would like to thank my parents Constantin and Mirela Mihai for their immense support without which my education in the United States would have only remained an unaccomplished dream. Since they are not with me anymore, finding the right words to express my gratitude is a difficult task. Surely there are not enough gestures or sentences to express what they meant for my journey. As a result, I want to dedicate this dissertation to their name and use it as a symbol of my infinite appreciation to all the sacrifices they made so that I can succeed. Wherever you are, I want to thank you for being the best and selfless people I have ever known! I am deeply indebted to Professor Sebastiano Manzan who supervised my thesis along the way and gave me invaluable comments that consistently improved my work over the years. A special thanks also goes to Professors Wim P.M. Vijverberg and Christos Giannikos for their contributions which strengthened the quality of this dissertation. They are fantastic researchers and a great Supervisory Committee that made it possible for me to become a better economist. Last but not least, I want to thank Professor Merih Uctum for being my guide in the first year and for her support during the admission process, Baruch College for giving me opportunities to teach various undergraduate classes, and the rest of the Economics Department along with The Graduate Center for their financial support during my studies. vi Contents Contents vii List of Tables x List of Figures xii xii Chapter 1 Do Credit Booms Predict U.S. Recessions? 1.1 Introduction An important area of research in empirical macroeconomics is concerned with understanding and predicting the business cycle. This is of special importance to households, corporations and governments to ensure the right measures are taken in the event of an unexpected recession. Business cycle turning points are usually associated with increases in unemployment and large declines in output and investment. Early detection models of such severe events are of utmost significance and can help place the economy in a favorable position to guard to some extent against some of the negative effects mentioned above. In that regard, there has been a considerable number of academic papers in the past two decades or so that took various approaches to predicting U.S. recessions. The majority of work on this topic involved the use of univariate probit models to determine macroeconomic and financial variables that are significant in predicting recessions. For example, Estrella and Mishkin (1996) find that interest rate spread (10 year T-bond less three month T-bill) along with the three month treasury bill are useful predictors of turning points in the business cycle. In another paper, Estrella and Mishkin (1998) extend their analysis and test the predictive power of the stock market and other money supply indicators in addition to the term spread. They find that stock prices are useful at a horizon of one to three quarters. Later on, Wright (2006) shows 1
2020
Financial markets are of vital importance to the overall economy: many market movements and phenomena have deep roots in and profound influences on macroeconomic activity. It is thus essential for policymakers seeking to maintain a healthy economy to understand the information conveyed by financial markets. Using both theoretical and empirical approaches, essays in this thesis study the pricing and trading of financial assets, with a particular emphasis on policy and regulatory implications. I started my doctoral studies in 2014; now, it is coming to an end. In retrospect, this is undoubtedly the most challenging, yet rewarding, venture I have ever had so far. It greatly improved me in almost every aspect: not only did I learn new skills and develop intellect, I also built physical strength and mental resilience. Although it is occasionally painful, this venture has proven more than worth it. Throughout this venture, I received help and support from many people, to whom I would like to express my deep gratitude. First, I would like to thank my advisor, Tim Johnson. Tim is a modest man of great wisdom and integrity, always adhering to a high standard of professionalism. He believed in me like no one else and gave me endless support in my research. He encouraged me to become an independent researcher, who takes ownership in every project and is ready to tackle any difficulties that may come up along the way. To help me reach my full potential, he pushed me to go the extra mile whenever possible. Without exaggeration, it is because of Tim that I become the kind of researcher I am today.
University of British Columbia, 2021
The first chapter investigates how households’ smooth consumption against idiosyncratic wage shocks in recessions and expansions. Labour market uncertainty amplifies during recessions, captured through the cross-sectional dispersion of wages. I focus on the relative contribution of adjustments in labour supply and net assets as insurance mechanisms. My identification strategy exploits variation in expenditures, hours worked and wages over the business cycle, and is applied to US household panel data. I document a new empirical fact -- the contribution of labour supply to consumption smoothing increases during economic downturns. I then examine the nature of this cyclicality through the lens of a standard life-cycle model with multiple asset-types (liquid and illiquid). The model shows that shifts in portfolio composition towards liquid assets in high uncertainty periods can rationalize the empirical observation. The second chapter examines the joint evolution of a pandemic and its macroeconomic consequences. We outline a macro-pandemic model where individuals can select into working from home or in the market. Market work increases the risk of infection. Occupations differ in the ease of substitution between market and home work, and in the risk of infection. The model is calibrated to British Columbian micro data to examine the implications of individuals exiting market work to insure against the risk of infection. We find that endogenous choice to self-isolate reduces the peak weekly infection rate by 2 percentage points but reduces the trough consumption level by 4 percentage points, even without policy mandated lockdowns. The third chapter examines whether improving access to financial institutions always facilitates consumption smoothing. I document new empirical evidence that emerging economies with better access to banks are worse at consumption smoothing defined as the ratio of consumption volatility to income volatility. Though developed economies with better access to banks are better at consumption smoothing. A simple one-good small open economy model supplemented with trend shocks and financial access heterogeneity is calibrated to match business cycle moments of developed and emerging markets. The model can qualitatively account for the relationship between consumption smoothing and financial access for developed and emerging economies, as seen in the data.
Journal of Economic Theory, 1997
2018
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Springer eBooks, 1992
SSRN Electronic Journal, 2016
The aim of this paper is to study the interplay between long term productive investments and more short term and liquid speculative ones. A three-period lived overlapping generations model allows us to make this distinction. Agents have two investment decisions. When young, they can invest in productive capital that provides a return during the following two periods. When young or in the middle age, they can also invest in a bubble. Assuming, in accordance with the empirical evidence, that the bubbleless economy is dynamically efficient, the existence of a stationary bubble raises productive investment and production. Indeed, young agents sell short the bubble to increase productive investments, whereas traders at middle age transfer wealth to the old age. We outline that a technological change inducing either a larger return of capital in the short term or a similar increase in the return of capital in both periods raises productive capital, production and the bubble size. This framework also allows us to discuss several economic applications: the effects of both regulation on limited borrowing and fiscal policy on the occurrence of bubbles, the introduction of a probability of market crash and the effect of bubbles on income inequality.
Society and Economy
The theory of economic motion was András Bródy's main interest. This paper presents a simplifi ed framework of Bródy's economics. His multi-sector production and price theory is based on the Marxian theory of value reinterpreted by using measurement considerations. Economic motion in this framework is driven by technology represented by the internal proportions of production, not by external shocks. Prices and proportions jointly determine the economic structure and its motion (duality of prices and volumes). We derive the laws of motion of production and use of goods (consumption and accumulation) based on technological accounting balances. These laws determine a cyclical pattern. Using numerical examples we demonstrate how external changes in technology and valuations are propagated in changing the cyclical pattern of motion.
Modern Economy, 2016
This paper establishes a second order accelerator model (Hillinger [1] [2]) in discrete time. More specifically, we present a three-equation structural model in order to examine the behavior over time of capital. Our purpose is the analysis of investment cycles, defined as the quasi-periodic cyclical motion of capital. It is demonstrated that when the trigonometric oscillation is the case, the system is dynamically stable. In addition, we extend the analysis, introducing an exogenous credit term, the interest rate on loans, as an unknown function of time in the behavioral equation of investors. We infer that the introduction of this credit term results in an alternative equilibrium level of capital.
2012
The first chapter studies mass layoff decisions. Firms in the SP 500 often announce layoffs within days of one another, despite the fact that the average SP 500 constituent announces layoffs once every 5 years. By contrast, similar-sized privatelyheld firms do not behave in this way. This paper provides a theoretical model and empirical evidence illustrating that such clustering behavior is largely due to CEOs managing their reputation in financial markets. The model's predictions are tested using two novel datasets of layoff announcements and actual mass layoffs. I compare the layoff behavior of publicly-listed and privately-held firms to estimate the impact of reputation-based incentives on cyclicality of layoffs. I find that relative to private firms, public firms are twice as likely to conduct mass layoffs in a recession month. In addition, I find that the firms that cluster layoff announcements at high frequencies are also the ones that are more likely to engage in mass layoffs during recessions. My findings suggest that reputation management is an important driver of layoff policies both at daily frequencies and over the business cycle, and can have significant macroeconomic consequences. In the second chapter I present a theory of the safe assets market and make three central points. First, the quantity of safe assets has a strong influence on equilibrium risk premium and households' willingness to hold risky assets. Second, the banking iii system and its regulation largely determine the quantity of safe assets (money-like claims) available to households. Lastly, by regulating banks' safe asset creation, central bank policy influences risk premium even in a flexible-price world. I show that the optimal central banking policy involves managing risk in the economy, which sometimes calls for large interventions. The third chapter studies the asset allocation decisions of investors and central banks. This chapter identifies the fundamental drivers for these decisions and determines whether their influence has been altered by the global financial crisis and subsequent low interest rate environment in advanced economies. The fourth chapter analyzes the welfare losses of taxation in a simple dynamic moral hazard model under symmetric information. iv Contents Acknowledgement vii Chapter 1: Strategic Corporate Layoffs
2011
I am greatly indebted to Dimitri Vayanos and Denis Gromb for their guidance and supervision, for providing inspiration and food for thought on many of the topics presented here, and for dispensing their clarity and intellectual rigor. I also benefited from numerous discussions with permanent or visiting finance faculty at the London School of Economics. In particular, I would like to thank
2013
The first chapter proposes a model of booms and busts in housing and non-housing consumption driven by the interplay between relatively low interest rates and an expansion of credit, triggered by further decline in interest rates and relaxing collateral requirements. When credit becomes available, households would like to borrow in order to frontload consumption, and this increases demand for housing and non-housing consumption. If the increase in the demand for housing translates into an increase in prices, then credit is fueled further, this time endogenously, because of the role of housing as collateral. Because a lifetime budget constraint still applies, even in the absence of a financial crisis, the initial expansion in housing and non-housing consumption will be followed by a period of contraction, with declining consumption and house prices. My mechanism clarifies that boom-bust dynamics will be accentuated in regions with inelastic supply of housing and muted in elastic regi...
International journal of central banking / Bank of Canada, 2010
We study an investment model in which agents have the wrong beliefs about the dynamic properties of fundamentals. Specifically, we assume that agents underestimate the rate of mean reversion. The model exhibits the following six properties: (i) Beliefs are excessively optimistic in good times and excessively pessimistic in bad times. (ii) Asset prices are too volatile. (iii) Excess returns are negatively autocorrelated. (iv) High levels of corporate profits predict negative future excess returns. (v) Real economic activity is excessively volatile; the economy experiences amplified investment cycles. (vi) Corporate profits are positively autocorrelated in the short run and negatively autocorrelated in the medium run. The paper provides an illustrative model of animal spirits, amplified business cycles, and excess volatility.
The Quarterly Journal of Economics, 1967
Metroeconomica, 2014
The econometrician Trygve Haavelmo followed a research program in macroeconomic theory that was highly original for its time. We present his macro model for an economy with deregulated financial markets and a policy determined interest rate path. Disequilibria arise in the interface between asset markets and the real economy. A mismatch between the marginal return to capital and investors' required rate generates endogenous switching between recession and full employment. Haavelmo regarded the 'switching mechanism' as a substitute for liquidity constraints, and together with his ideas for price dynamics, there is a clear Keynesian and Wicksellian influence on his macroeconomic theorising.
Economics: The Open-Access, Open-Assessment E-Journal
A popular interpretation of the Rational Expectations/Efficient Markets hypothesis states that, if it holds, market valuations must follow a random walk; hence, the hypothesis is frequently criticized on the basis of empirical evidence against such a prediction. Yet this reasoning incurs what we could call the 'fallacy of probability diffusion symmetry': although market efficiency does indeed imply that the mean (i.e. 'expected') path must rule out any cyclical or otherwise arbitrage-enabling pattern, if the probability diffusion process is asymmetric the observed path will most closely resemble not the mean but the median, which is not subject to this condition. In this context, this paper develops an efficient markets model where the median path of Tobin's q ratio displays regular, periodic cycles of bubbles and crashes reflecting an agency problem between investors and producers. The model is tested against U.S. market data, and its results suggest that such a regular cycle does indeed exist and is statistically significant. The aggregate production model in Gracia (Uncertainty and Capacity Constraints: Reconsidering the Aggregate Production Function, 2011) is then put forward to show how financial fluctuations can drive the business cycle by periodically impacting aggregate productivity and, as a consequence, GDP growth.
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