On the rationality of Korea's stock market: was the recent Korean financial crisis due to fundamental factors?

This paper examines whether the recent financial crisis in Korea was due to fundamental factors. To address this issue, we identify various components of Korea's stock market prices (KOSPI) and examine their responses to different types of shocks. Given the stationary behavior of KOSPI dividends, we relate stock price directly to earnings by deriving and using a log-linear model of the spread between price and earnings with a time-varying discount factor. Therefore, stock-price movements are explained by earnings (numerator component), time-varying discount factors (denominator component), and non-fundamental factors. Although we find evidence of substantial non-fundamental components in Korea's stock market prices, the sudden decline in Korea's stock market prices during the 1997 financial crisis was primarily due to fundamental components, in particular, the numerator component (e.g. earnings) combined with the denominator component (i.e. time-varying discount factor) rather than non-fundamental factors.     

Growth and Distributional Impacts of Urban Housing Supply: An Application of Urban Land Use and a CGE Model For Seoul

This paper assesses economic effects of housing supplies on the urban growth and income distribution of Seoul, using an urban land use and Computable General Equilibrium model of Seoul economy. The simulation shows that the housing development with the conversion of the green or the industrial land uses into the residential land use leads to an increase of the Gross Regional Product by approximately 1% at the worse income inequality. The aggregate welfare effects in terms of Hicksian Compensating Variation range from 1.746 trillion Korean Won to 1.768 trillion Korean Won on a ten-period average, depending on the type of the land conversion.     

A Time-Series Model of Stock Returns with a Positive Short-Term Correlation and a Negative Long-Term Correlation

We study portfolio stock return behavior that exhibits both a positive autocorrelation over short horizons and a negative autocorrelation over long horizons. These autocorrelations are more significant in small size portfolios. Among various forms of temporary components in stock prices, an AR(2) component is the simplest model compatible with this pattern of returns, which yields an ARMA(2,2) model of stock returns. We show that the significance of this model is that it requires the presence of feedback trading, which is a form of irrational trades, and the market's slow adjustment to the market fundamentals, which is consistent with recent modelings of stock prices. We find that the variation of the temporary component becomes greater as the firm size gets smaller. This implies that the deviation from the market fundamentals is larger in small size portfolios than in large size portfolios.