Money Shocks Research Articles

The Impact of Quantitative Easing on Stock Prices in the U.S. Stock Market - Structural VAR Model Analysis

In an effort for future investment implications, the current study examined the relationship between historical Quantitative Easing (QE) programs and the stock market. This study analyzed weekly basis data in the United States between 2007 and 2023. Through a Vector auto-regression (VAR) model, a significant rise following a quick drop in stock prices to a positive shock in QE was discovered, indicating lagged response. Further robustness check proved the validation of relationship, by sectioning the whole data set into 4 periods corresponding to four QE programs, except relatively insignificant effects in QE2 and QE3 periods. These lagged responses were pointed out firstly in this paper and connected with policy motivations and contemporaneous economy environment across programs. The findings may enable investors to anticipate market movements and generate respectable returns in the event of such unconventional money shocks.

A study of financial market resilience in China — From a hot money shock perspective

Given the huge impact of hot money on the China's financial market, it is crucial to evaluate and improve the ability to withstand such shocks. This paper measures the resilience of China's financial markets to hot money shocks, and examines the connectedness mechanism among submarket resilience. Our findings indicate that, first, China's overall financial market resilience is characterized by cyclical changes. Among all markets, the bond market exhibits the strongest ability to absorb shocks, while the real estate market shows the weakest. Second, there is a considerable association between financial submarket resilience, which is further strengthened by panic and pessimistic expectations in tail scenarios. The stock market holds the central position in the resilience connectedness structure and shows the greatest impact on other markets. This study suggests that focusing on real estate and stock market conditions is the key to accelerating financial market recovery from hot money shocks.

Dampak Sistem Pembayaran Non-Tunai Terhadap Permintaan Uang Kartal di Indonesia

The stability of the demand for money is important to maintain the value of therupiah. This stability is seen in terms of the amount of currency and the ability ofmoney to fulfill all transactions in a short time. The use of non-cash money canhelp speed up the processing of financial transactions, but on the one hand it canhave an impact on changes in the demand for currency, which in turn affects thestability of the money supply. For this reason, it is necessary to conduct researchon the impact of using non-cash money on the demand for currency in Indonesia.This study analyzes the impact of non-cash payments using cards (APMK) on thedemand for currency in Indonesia for the 2014-2017 period. The analytical toolsused in this study are Vector Autoregression (VAR) to determine causality,Impulse Response Function (IRF) and Variance Decomposition (VD). The resultsshowed that the increase in the use of card-based non-cash money had an impacton reducing the demand for money in Indonesia in the 2014-2017 period. Thenon-cash money shock has an impact on the shock of changes in the demand forcurrency.

Euro area monetary asset demand and Divisia aggregates**

Monetary asset user costs are functions of spreads between a benchmark rate of return and the own rates of return on the monetary assets. We analyze the impact of the benchmark rate on a Euro area Divisia M2 aggregate, on estimated elasticities of substitution, and on estimated impulse response functions. Substitution in response to changes in the user cost of M1 is generally elastic, but we find evidence of inelastic substitution along other dimensions. When a loan rate is used as the benchmark, substitution in response to changes in the user costs of the two components of M2-M1 is inelastic throughout the sample and the corresponding elasticity estimates are near their lowest levels during the pandemic. This is strong evidence that Divisia monetary aggregates are preferable to conventional monetary aggregates. Annual growth rates of simple sum and Divisia M2 monetary aggregates differ significantly in some periods, but not during the pandemic. Estimated impulse response functions using both Divisia and simple sum money measures indicate that money shocks have positive and statistically significant effects on real output. The response of the price level to a money shock tends to be more persistent when the models are estimated using Divisia aggregates. .

Investigating the Effect of Financial and Monetary Policy on the Iranian Stock Market by Using DSGE Model

This paper uses a dynamic stochastic general equilibrium model to investigate the effect of fiscal and monetary policy on the stock market in Iran. Results show that a positive money shock leads to a rise in output, stock price index, and inflation. In addition, the response of the stock demand to money supply shock is negative. We found that a positive government expenditure shock led to a rise in output and inflation. The response of stock demand and stock price index to the government expenditure shocks are negative. Furthermore, results show that a stock market shock leads to a rise in output and inflation.

Flattening of the Phillips Curve with State-Dependent Prices and Wages

Abstract We study monetary transmission in a model of state-dependent prices and wages based on ‘control costs’. Stickiness arises because precise choice is costly: decision makers tolerate errors both in the timing of adjustments, and in the new level at which the price or wage is set. The model is calibrated to microdata on the size and frequency of price and wage changes. In our simulations, money shocks have less persistent real effects than in the Calvo framework; nonetheless, the model exhibits a substantial degree of non-neutrality, driven mainly by wage rigidity. State-dependent nominal stickiness implies a flatter Phillips curve as trend inflation declines, because price and wage adjustments become less frequent, making short-run inflation less reactive to shocks. Our model can explain almost half of the observed decline in the slope of the Phillips curve since 2000.

Monetary policy, hot money and housing price growth across Chinese cities

ABSTRACT We use a dynamic hierarchical factor model to identify the national, regional and local factors of the city-level housing price growth in China. During the zero-lower-bound (ZLB) episode in the U.S., local factors account for 78% of variations in the month-on-month city-level housing price growth. However, as the time horizon extends, the national factor gets a larger variance share, reaching 51% in a half-year horizon. This indicates that the city-level housing price growth in China is more of a national phenomenon in the long run. We then use a VAR model to investigate the driving forces of the national factor and find that monetary policy and hot money shocks affect the national housing price growth significantly. A tightening monetary policy shock has a significant negative impact on the national factor, which lasts for more than 2 years. An increase in hot money inflows causes a significant but transitory rise in the national factor. Moreover, we find that the quantitative easing measure adopted by the U.S. Fed is behind the surge of capital inflows into China.

Does the exchange rate overshoot in an emerging economy?

PurposeThe sticky-price monetary model of exchange rate states the overshooting hypothesis as, exchange rate depreciation beyond its long-term value in response to an increase in money supply owing to the sticky nature of prices. Because of interest and relevance to policy, there is a huge extant literature on it but with mixed findings that suggest the need for further studies to refine the findings. Pakistan’s rupee exchange rate against the US dollar depreciated 128.44% over the period May 2007–December 2018. Considering this substantial decline in rupee's value, this study aims to examine either the rupee short-run value is over-shot of its long-term value.Design/methodology/approachThis study uses a linear ARDL approach that segregates the short-run and long-run effects thus clarifying the premise of exchange rate overshooting. Furthermore, this study also uses nonlinear ARDL as a robustness check incorporating structural breaks.FindingsFindings based on a linear model show evidence of exchange rate undershooting that means a positive money shock causes the exchange rate to appreciate. A nonlinear analysis also provides support to these findings. However, the increase in relative money supply has more such effect than that of a decrease in the relative money supply. Moreover, the authorities’ inclination to stabilize the exchange rate appreciates its short-run value.Originality/valueThis study substantiates the overshooting hypothesis literature by considering the role of asymmetric effects of exchange rate determinants and structural breaks that is a rare attempt in the extant literature.

A MONETARY BUSINESS CYCLE MODEL FOR INDIA

A New Keynesian monetary business cycle model is constructed to study why monetary transmission in India is weak. Our models feature banking and financial sector frictions as well as an informal sector. The predominant channel of monetary transmission is a credit channel. Our main finding is that base money shocks have a larger and more persistent effect on output than an interest rate shock, as in the data. The presence of an informal sector hinders monetary transmission. Contrary to the consensus view, financial repression in the form of a statutory liquidity ratio and administered interest rates, does not weaken monetary transmission. (JEL E31, E32, E44, E52, E63)

Revisiting the house money effect in the field: Evidence from casino jackpots

This paper tests the house money effect, i.e., that prior gains increase subsequent risk-taking behavior, in the field. We use individual-level slot machine gambling records of 5,169 players from a real casino and employ jackpot hits as exogenous house money shocks. Our results show that players wager significantly less money after hitting a jackpot, which implies that players reduce their risk-taking behavior and thus act more cautiously after experiencing gains. We fail to replicate the house money effect in the field and find evidence for a reverse house money effect. Furthermore, while risk-taking behavior is reduced after hitting a jackpot, the jackpot size has no additional effect.

Monetary Policy Implications of State-Dependent Prices and Wages

We study the effects of monetary shocks in a model of state-dependent price and wage adjustment based on “control costs”. Suppliers of retail goods and of labor are both monopolistic competitors that face idiosyncratic productivity shocks and nominal rigidities. Stickiness arises because precise decisions are costly, so agents choose to tolerate small errors in the timing of adjustments. Our simulations are calibrated to microdata on the size and frequency of price and wage changes. Money shocks have less persistent real effects in our state-dependent model than they would a time-dependent framework, but nonetheless we obtain sufficient monetary nonneutrality for consistency with macroeconomic evidence. Nonneutrality is primarily driven by wage rigidity, rather than price rigidity. State-dependent nominal rigidity implies a flatter Phillips curve as trend inflation declines, because nominal adjustments become less frequent, making short-run inflation less reactive to shocks.

A “quantized” approach to rational inattention

In this paper, I propose a model of rational inattention where the choice variable is a deterministic function of the exogenous variables, and still only a finite amount of information is being used. This holds provided the choice variable is discrete rather than continuous; that is, the mapping from the realization of the exogenous variables to the endogenous ones is piece-wise constant.Thus, limited information is now a source of lumpiness in behavior, rather than a source of noise. The approach is applied to a simple static model of price-setting where individual price setters face aggregate monetary shocks and idiosyncratic productivity shocks. The effect of aggregate money shocks on output and prices is studied. It is shown that as the variance of idiosyncratic shocks become large, the aggregate log price level converges to a linear function of the aggregate money shock, with a coefficient which is strictly between 0 and 1. Consequently, unanticipated aggregate money shocks have real effects on output, in contrast to the sticky price model of Caplin and Spulber (1987). But these effects are smaller than in standard rational inattention models or in the Lucas (1972) misperception model.

Monetary Policy, Hot Money and Housing Price Growth Across Chinese Cities

We use a dynamic hierarchical factor model to identify the national, regional, and local factors of the city-level housing price growth in China from 2005 to 2015. During the zero-lower-bound (ZLB) episode in the U.S., local factors account for 78% of variations in the month-on-month city-level housing price growth. However, as the time horizon gets longer and longer, the national factor gets a larger and larger variance share. When the horizon is extended to half a year, the variance share of the national factor reaches 51%. This indicates that the city-level housing price growth in China is more of a national wide phenomenon in recent years. We then use a VAR model to investigate the driving forces of the national factor and find that monetary policy and hot money shocks can affect the national housing price growth significantly. A positive monetary policy shock has a significant negative impact on the national factor, which lasts for more than two years. A positive hot money shock does cause a significant increase in the national factor. However, this effect is transitory and gets reversed in half a year. Our analysis indicates that the reversed effect of hot money shocks and the negative impact of positive price shocks on the national factor result from the tightening of monetary policy triggered by these shocks.

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An Evaluation of Friedman's Monetary Instability Hypothesis

In this article, I examine what I call Milton Friedman's Monetary Instability Hypothesis. Drawing on Friedman's work, I argue that there are two main components to this view. The first component is the idea that deviations between the public's demand for money and the supply of money are an important source of economic fluctuations. The second component of this view is that these deviations are primarily caused by fluctuations in the supply of money rather than the demand for money. Each of these components can be tested independently. To do so, I estimate an otherwise standard New Keynesian model, amended to include a money demand function consistent with Friedman's work and a money growth rule, for a period from 1875 to 1963. This structural model allows me to separately identify shocks to the money supply and shocks to money demand. I then use variance decompositions to assess the relative importance of shocks to the supply and demand for money. I find that shocks to the monetary base can account for up to 28% of the fluctuations in output whereas money demand shocks can account for less than 1% of such fluctuations. This provides support for Friedman's view.

The Effect of Macroeconomic Variables on the Stock Market Index of the Tehran Stock Exchange

This paper examines the relationship between stock market index and macroeconomic policies (Fiscal and Monetary) on Iran's economy using quarterly data in the period 1999-2013. This study employed cointegration test and vector autoregressive models (VAR) to examine relationships between the stock market index and the macroeconomic variables. The empirical results reveal that a positive money shock can increase stocks return. According to impulse responses, the government expenditure had a slight impact on stocks return in the short term. But the government expenditure has a positive effect on exchange index in long run. Also the effect of taxes on the stock's price index is negative, so that it reaches its maximum level after the third lag and then alleviates. The GDP shock has positive effect on the stock's price index. Increase in production level leads to increase in earnings and profitability, leading to a positive response from stocks index. Therefore the results showed that the macroeconomic variables such as inflation, exchange rate and GDP have significant effects on Tehran exchange price index. So the hypothesis that the improving economic factors can have a useful role in the booming capital market is confirmed. Also the effect of fiscal policy factors such as tax revenues and government expenditures is more than monetary policy factors on stock returns.

An Evaluation of Friedman's Monetary Instability Hypothesis

In this paper, I examine what I call Milton Friedman's Monetary Instability Hypothesis. Drawing on Friedman's work, I argue that there are two main components to this view. The first component is the idea that deviations between the public's demand for money and the supply of money are an important source of economic fluctuations. The second component of this view is that these deviations are primarily caused by fluctuations in the supply of money rather than the demand for money. Each of these components can be tested independently. To do so, I estimate an otherwise standard New Keynesian model, amended to include a money demand function consistent with Friedman's work and a money growth rule, for a period from 1875-1963. This structural model allows me to separately identify shocks to the money supply and shocks to money demand. I then use variance decompositions to assess the relative importance of shocks to the supply and demand for money. I find that shocks to the monetary base can account for up to 28% of the fluctuations in output whereas money demand shocks can account for less than 1% of such fluctuations. This provides support for Friedman's view.

MONEY AND MONETARY POLICY IN THE EUROZONE: AN EMPIRICAL ANALYSIS DURING CRISES

This paper analyzes the role of money and monetary policy as well as the forecasting performance of New Keynesian dynamic stochastic general equilibrium models with and without separability between consumption and money. The study is conducted over three crisis periods in the Eurozone, namely, the ERM crisis, the dot-com crisis, and the global financial crisis (GFC). The results of successive Bayesian estimations demonstrate that during these crises, the nonseparable model generally provides better out-of-sample output forecasts than the baseline model. We also demonstrate that money shocks have some impact on output variations during crises, especially in the case of the GFC. Furthermore, the response of output to a money shock is more persistent during the GFC than during the other crises. The impact of monetary policy also changes during crises. Insofar as the GFC is concerned, this impact increases at the beginning of the crisis, but decreases sharply thereafter.

Oil inflows and housing market fluctuations in an oil-exporting country: Evidence from Iran

In this study, I develop a structural macroeconomic model for Iran, an oil exporting country, highlighting the transmission channels of oil prices to the housing market. The model combines three blocks of macroeconomic interest consisting of money, goods and foreign exchange markets with the housing market. I identified and estimated the model using a Bayesian structural vector autoregressive framework. I also use posterior model probabilities to deal with uncertainty in the identification scheme and Bayesian Monte Carlo integration methods to obtain the correct posterior distribution for the structural parameters and to generate accurate confidence intervals for the impulse responses. The findings indicate that oil price shocks have a positive and persistent effect on housing activities. In contrast, money expansion has limited effect on housing market variables. Quantitatively, in the medium and long run, positive oil shocks explain about 28% of the variation in housing stocks and 21% of the variation in real housing prices. By contrast, money shocks explain 11% and 5% of the variation in housing stocks and housing prices, respectively

Big Players Out of Synch: Spillovers Implications of US and Euro Area Shocks

Given the prospects of asynchronous monetary conditions in the United States and the euro area, this paper analyzes spillovers among these two economies, as well as the implications of asynchronicity for spillovers to other advanced economies and emerging markets. Through a structural vector autoregression analysis, country-specific shocks to economic activity and monetary conditions since the early 1990s are identified, and are used to draw implications about spillovers. The empirical findings suggest that real and monetary conditions in the United States and the euro area have oftentimes been asynchronous. The results also point to significant spillovers among them, in particular since early 2014—with spillovers from the euro area to the United States being particularly large. Against the backdrop of asynchronous conditions in these two economies, spillovers from real and money shocks to emerging markets and non-systemic advanced economies could be dampened.