• 제목/요약/키워드: price index

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해방 전(1907~1939) 소비자물가지수 추계 (An Estimate of Consumer Price Index of Colonial Korea: 1907-1939)

  • 박기주;김낙년
    • 경제분석
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    • 제17권1호
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    • pp.131-168
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    • 2011
  • 본 논문의 과제는 1907~39년에 식민지 조선의 8개 도시(서울, 부산, 대구, 목포, 평양, 신의주, 원산, 청진)와 이를 종합한 전 도시 소비자물가지수를 추계하는 것이다. 물가지수 추계를 위한 소비재 가격 자료는 『조선총독부통계연보』에 의거하였으며, 거기에 포함되지 않은 주거비와 서비스 가격은 임금이나 공공요금 단가 등을 이용하여 보완하였다. 이들 가격에 대응하는 가중치는 재화흐름법(commodity flow method)에 의거하여 추정된 민간소비지출의 구성비를 이용하였다. 소비자물가지수의 작성은 현재와 같이 기준년을 5년마다 개편하는 라스파이레스(Laspeyres) 지수 방식으로 구했으며, 총 지수와 함께 12대 비목별 지수도 구했다. 그리고 서울의 경우에는 1907~2009년에 걸친 장기지수(총 지수 및 5대 비목별 지수)를 제시하였으며, 이를 통해 소비자물가가 지난 100년 간에 걸쳐 어떻게 추이했는지를 보였다. 본 논문이 추계한 소비자물가지수는 해방 전의 소득이나 지출에 관한 명목금액을 현재 가치로 환산하는 데 이용될 수 있다.

주가지수 선물과 옵션의 만기일이 주식시장에 미치는 영향: 개별 종목 분석을 중심으로 (Expiration-Day Effects: The Korean Evidence)

  • 최혁;엄윤성
    • 재무관리연구
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    • 제24권2호
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    • pp.41-79
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    • 2007
  • 본 논문은 주가지수 선물과 옵션의 만기일이 주식시장에 어떠한 영향을 미치는가에 대한 분석을 통해 한국주식시장에서 만기일 효과가 존재하는지를 검증한다. 주가지수를 이용한 기존의 논문과는 달리 만기일에 현물 주식시장의 움직임을 개별 종목별로 분석했다는 점에서 본 논문은 차별성을 지닌다. 주가지수는 시장 움직임의 평균으로 개별 종목의 고유한 특성을 반영하지 못하기 때문에 주가지수를 이용한 분석은 만기일 효과를 해석하고 그 원인을 분석하는데 한계를 지니고 있다. 분석 결과 한국주식시장에서 선물 만기일 효과는 분명히 존재하지만, 옵션 만기일 효과는 뚜렷하지 않은 것으로 드러났다. 선물 만기일에 KOSPI 200 지수와 개별 종목은 가격상승 압력이 존재하고, 변동성과 거래량이 증가하며, 만기일 다음날 수익률은 반전하는 경향이 있는 것으로 나타났다. 그러나 비교표본인 NON-KOSPI 200 지수와 개별 종목에서 만기일 효과가 존재한다고 할 만한 증거를 찾지 못했다. 만기일 효과가 시장 전체적으로 나타나는 것처럼 보이지만 KOSPI 200에 속하는 대규모 기업에 한정되며, 장 후반에 집중적으로 나타난다는 사실은 프로그램 매매와 만기일의 결제제도가 만기일 효과의 간접적 원인임을 시사한다. 또한 만기일 다음날 가격이 반전하는 현상이 KOSPI 200에 속하는 대규모 기업에 한정되어 나타나는 사실은 만기일 효과가 새로운 정보의 반영에 의한 정보 효과(information effects)가 아니라 일시적 거래불균형에 의한 유동성 효과(liquidity effects)임을 보여주는 증거가 된다.

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The Effect of COVID-19 Pandemic on the Philippine Stock Exchange, Peso-Dollar Rate and Retail Price of Diesel

  • CAMBA, Aileen L.;CAMBA, Abraham C. Jr.
    • The Journal of Asian Finance, Economics and Business
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    • 제7권10호
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    • pp.543-553
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    • 2020
  • This paper examines the effect of COVID-19 pandemic on the Philippine stock exchange, peso-dollar rate and retail price of diesel using robust least squares regression and vector autoregression (VAR). The robust least squares regression using MM-estimation method concluded that COVID-19 daily infection has negative and statistically significant effect on the Philippine stock exchange index, peso-dollar exchange rate and retail pump price of diesel. This is consistent with the results of correlation diagnostics. As for the VAR model, the lag values of the independent variable disclose significance in explaining the Philippine stock exchange index, peso-dollar exchange rate and retail pump price of diesel. Moreover, in the short run, the impulse response function confirmed relative effect of COVID-19 daily infections and the variance decomposition divulge that COVID-19 daily infections have accounted for only minor portion in explaining fluctuations of the Philippine stock exchange index, peso-dollar exchange and retail pump price of diesel. In the long term, the influence levels off. The Granger causality test suggests that COVID-19 daily infections cause changes in the Philippine stock exchange index and peso-dollar exchange rate in the short run. However, COVID-19 infection has no causal link with retail pump price of diesel.

Price Monitoring Automation with Marketing Forecasting Methods

  • Oksana Penkova;Oleksandr Zakharchuk;Ivan Blahun;Alina Berher;Veronika Nechytailo;Andrii Kharenko
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.37-46
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    • 2023
  • The main aim of the article is to solve the problem of automating price monitoring using marketing forecasting methods and Excel functionality under martial law. The study used the method of algorithms, trend analysis, correlation and regression analysis, ANOVA, extrapolation, index method, etc. The importance of monitoring consumer price developments in market pricing at the macro and micro levels is proved. The introduction of a Dummy variable to account for the influence of martial law in market pricing is proposed, both in linear multiple regression modelling and in forecasting the components of the Consumer Price Index. Experimentally, the high reliability of forecasting based on a five-factor linear regression model with a Dummy variable was proved in comparison with a linear trend equation and a four-factor linear regression model. Pessimistic, realistic and optimistic scenarios were developed for forecasting the Consumer Price Index for the situation of the end of the Russian-Ukrainian war until the end of 2023 and separately until the end of 2024.

A Study on the Prediction of Stock Return in Korea's Distribution Industry Using the VKOSPI Index

  • Jeong-Hwan LEE;Gun-Hee LEE;Sam-Ho SON
    • 유통과학연구
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    • 제21권5호
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    • pp.101-111
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    • 2023
  • Purpose: The purpose of this paper is to examine the effect of the VKOSPI index on short-term stock returns after a large-scale stock price shock of individual stocks of firms in the distribution industry in Korea. Research design, data, and methodology: This study investigates the effect of the change of the VKOSPI index or investor mood on abnormal returns after the event date from January 2004 to July 2022. The significance of the abnormal return, which is obtained by subtracting the rate of return estimated by the market model from the rate of actual return on each trading day after the event date, is determined based on T-test and multifactor regression analysis. Results: In Korea's distribution industry, the simultaneous occurrence of a bad investor mood and a large stock price decline, leads to stock price reversals. Conversely, the simultaneous occurrence of a good investor mood and a large-scale stock price rise leads to stock price drifts. We found that the VKOSPI index has strong explanatory power for these reversals and drifts even after considering both company-specific and event-specific factors. Conclusions: In Korea's distribution industry-related stock market, investors show an asymmetrical behavioral characteristic of overreacting to negative moods and underreacting to positive moods.

Macro-Economic Factors Affecting the Vietnam Stock Price Index: An Application of the ARDL Model

  • DAO, Hoang Tuan;VU, Le Hang;PHAM, Thanh Lam;NGUYEN, Kim Trang
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.285-294
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    • 2022
  • Using the ARDL approach, this study examined the impact of macro factors on Vietnam's stock market in the short and long run from 2010 to 2021. The State Bank of Vietnam and the International Monetary Fund provided time series data for this study. Research results show that in the long run, money supply and exchange rate respectively affect the stock market. The money supply had a positive effect on the VN-Index, while the exchange rate showed the opposite effect. However, the study did not find a relationship between world oil price and interest rates on VN-Index in the long run. On the other hand, in the short term, there are relationships between variables; specifically, interest rates and exchange rates have a negative impact on the VN-Index, while the world oil price and the fluctuation of money supply M2 of the previous one and two months showed an impact in the same direction on this index. The differences in the regression results on the impact of exchange rate and oil price on the VN-Index compared to previous studies come from the characteristics of Vietnam's stock market, with the large capitalization of companies in the oil and gas sector, and the structure of Vietnam's economy with export heavily depends on FDI sector.

신경회로망을 이용한 종합주가지수의 변화율 예측 (Prediction of Monthly Transition of the Composition Stock Price Index Using Error Back-propagation Method)

  • 노종래;이종호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1991년도 하계학술대회 논문집
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    • pp.896-899
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    • 1991
  • This paper presents the neural network method to predict the Korea composition stock price index. The error back-propagation method is used to train the multi-layer perceptron network. Ten of the various economic indices of the past 7 Nears are used as train data and the monthly transition of the composition stock price index is represented by five output neurons. Test results of this method using the data of the last 18 months are very encouraging.

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Oil Price Fluctuations and Stock Market Movements: An Application in Oman

  • Echchabi, Abdelghani;Azouzi, Dhekra
    • The Journal of Asian Finance, Economics and Business
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    • 제4권2호
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    • pp.19-23
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    • 2017
  • It is undisputable that crude oil and its price fluctuations are major components that affect most of the countries' economies. Recent studies have demonstrated that beside the impact that crude oil price fluctuations have on common macroeconomic indicators like gross domestic product (GDP), inflation rates, exchange rates, unemployment rate, etc., it also has a strong influence on stock markets and their performance. This relationship has been examined in a number of settings, but it is yet to be unraveled in the Omani context. Accordingly, the main purpose of this study is to examine the possible effect of the oil price fluctuations on stock price movements. The study applies Toda and Yamamoto's (1995) Granger non-causality test on the daily Oman stock index (Muscat Securities Market Index) and oil prices between the period of 2 January 2003 and 13 March 2016. The results indicated that the oil price fluctuations have a significant impact on stock index movements. However, the stock price movements do not have a significant impact on oil prices. These findings have significant implications not only for the Omani economy but also for the economy of similar countries, particularly in the Gulf Cooperation Council (GCC) countries. The latter should carefully consider their policies and strategies regarding crude oil production and the generated income allocation as it might potentially affect the financial markets performance in these countries.

건설공사비지수의 산정을 위한 수량기반 기준시점 가격지수의 개발 (Development of Quantity based Base Period Price Index(QBPPI) to calculate Construction Cost Index)

  • 박성철;구교진;현창택
    • 한국건설관리학회논문집
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    • 제7권5호
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    • pp.77-84
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    • 2006
  • 지수는 여러 산업분야에서 오랜시간 동안 경제지표 또는 성과지표로서 중요한 역할을 담당해 왔으며, 실적공사비 적산방식이 적용 확대됨에 따라 2004년 2월부터 시간에 대한 보정을 위하여 건설공사비지수를 사용하고 있다. 건설공사비지수를 산출하기 위한 구성요소는 지수산정식과 자료원으로 구분된다. 기존의 건설관련 공사비지수에서는 물가지수산정에 사용하는 라스파이레스(Laspyeres)지수를 산정식으로 적용하고 산업연관표, 공사비 내역서를 사용하여 가중치를 산정하였다. 그러나, 기존의 방법은 물가변동이 중복 적용되고 대상프로젝트의 특성을 효과적으로 반영하지 못하는 문제점이 발생된다. 본 연구에서는 라스파이레스지수를 비롯한 기존 지수 산정식들을 분석하고, 공동주택공사의 사례를 통하여 기존 지수산정식 및 자료원의 적정성을 분석한 후, 건설공사의 특성을 효율적으로 반영하고 물가변동을 반영할 수 있는 새로운 지수를 제안한다.

변동성위험프리미엄을 이용한 일중변동성매도전략의 수익성에 관한 연구 (Profitability of Intra-day Short Volatility Strategy Using Volatility Risk Premium)

  • 김선웅;최흥식;배민근
    • 경영과학
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    • 제27권3호
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    • pp.33-41
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    • 2010
  • A lot of researches find negative volatility risk premium in options market. We can make a trading profit by exploiting the negative volatility premium. This study proposes negative volatility risk premium hypotheses in the KOSPI 200 stock price index options market and empirically test the proposed hypotheses with intra-day short straddle strategy. This strategy sells both at-the-money call option and at-the-money put option at market open and exits the position at market close. Using MySQL 5.1, we create our database with 1 minute option price data of the KOSPI 200 index options from 2004 to 2009. Empirical results show that negative volatility risk premium exists in the KOSPI 200 stock price index options market. Furthermore, intra-day short straddle strategy consistently produces annual profits except one year.