• Korean Journal of Mathematics
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• 제20권1호
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• pp.47-60
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• 2012

We deal some analytic calculations for European option pricing by using the theory of elementary solution of generalized diffusion equation mainly.

• 아태비즈니스연구
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• 제11권3호
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• pp.199-215
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• 2020

Purpose - This article tries to test if the conditional consumption capital asset pricing model (CCAPM) with bank credit for household as a conditional variable can explain the cross-sectional variation of stock returns in Korea. The performance of conditional CCAPM is compared to that of multifactor asset pricing models based on Arbitrage Pricing Theory. Design/methodology/approach - This paper extends the simple CCAPM to the conditional version of CCAPM by using bank credit for household as conditioning information. By employing KOSPI and KOSDAQ stocks as test assets from the second quarter of 2003 to the first quarter of 2018, this paper estimates risk premiums of conditional CCAPM and a variety of multifactor linear models such as Fama-French three and five-factor models. The significance of risk factors and the adjusted coefficient of determination are the basis for the comparison in models' performances. Findings - First, the paper finds that conditional CCAPM with bank credit performs as well as the multifactor linear models from Arbitrage Pricing theory on 25 test assets sorted by size and book-to-market. When using long-term consumption growth, the conditional CCAPM explains the cross-sectional variation of stock returns far better than multifactor models. Not only that, although the performances of multifactor models decrease on 75 test assets, conditional CCAPM's performance is well maintained. Research implications or Originality - This paper proposes bank credit for household as a conditional variable for CCAPM. This enables CCAPM, one of the most famous economic asset pricing models, to conform with the empirical data. In light of this, we can now explain the cross-sectional variation of stock returns from an economic perspective: Asset's riskiness is determined by its correlation with consumption growth conditional on bank credit for household.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.620-627
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• 2003

The real option pricing theory has emerged as the new investment decision-making techniques superceding the traditional discounted cash flow techniques and thus has greatly received muck attention from academics and practitioners in these days the theory has been widely applied to a variety of corporate strategic projects such as a new drug R&D, an internet start-up. an advanced manufacturing system. and so on A lot of people who are interested in the real option pricing theory complain that it is difficult to understand the true meaning of the real option value. though. One of the most conspicuous reasons for the complaint may be due to the fact that there exit many different ways to calculate the real options value in this paper, we will present a replicating portfolio method. a risk-neutral probability method. a risk-adjusted discount rate method (quasi capital asset pricing method). and an opportunity cost concept-based method under the conditions of a binomial lattice option pricing theory.

• 산업경영시스템학회지
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• 제8권12호
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• pp.13-25
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• 1985

• 재무관리연구
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• 제1권1호
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• pp.133-149
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• 1985

The theory of option pricing has undergone rapid advances in recent years. Simultaneously, organized option markets have developed in the United States and Europe. The closed form solution for pricing options has only recently been developed, but its potential for application to problems in finance is tremendous. Almost all financial assets are really contingent claims. Especially, Black and Scholes(1973) suggest that the equity in a levered firm can be thought of as a call option. When shareholders issue bonds, it is equivalent to selling the assets of the firm to the bond holders in return for cash (the proceeds of the bond issues) and a call option. This paper takes the insight provided by Black and Scholes and shows how it may be applied to many of the traditional issues in corporate finance such as dividend policy, acquisitions and divestitures and capital structure. In this paper a combined capital asset pricing model (CAPM) and option pricing model (OPM) is considered and then applied to the derivation of equity value and its systematic risk. Essentially, this paper is an attempt to gain a clearer focus theoretically on the question of corporate stock risk and how the OPM adds to its understanding.

• 응용통계연구
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• 제24권4호
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• pp.721-733
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• 2011

We consider the state price densities that are implicit in financial asset prices. In the pricing of an option, the state price density is proportional to the second derivative of the option pricing function and this relationship together with no arbitrage principle imposes restrictions on the pricing function such as monotonicity and convexity. Since the state price density is a proper density function and most of the shape constraints are caused by this, we propose to estimate the state price density directly by specifying candidate densities in a flexible nonparametric way and applying methods of regularization under extra constraints. The problem is easy to solve and the resulting state price density estimates satisfy all the restrictions required by economic theory.

• 한국건설관리학회논문집
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• 제11권6호
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• pp.54-64
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• 2010

기업은 이익창출을 위해 자본과 비용을 투입하고 재무적 타당성을 분석하여 투자의 가부를 결정한다. 일반적으로 실물자산의 투자가 창출하는 현금흐름은 투자분석시의 결과와는 달리 불확실하게 변화하고 실물자산이 내포한 여러 경영상의 유연성이 유발하는 비대칭수익구조도 사업의 가치에 영향을 미친다. 실물자산의 투자가 수반하는 다양한 경영상의 유연성들 중, 경영진이 특정 기간 동안 투자를 지연할 수 있는 투자지연의 의사결정은 시장에서 새로운 정보가 유입되면 합리적인 대응을 가능케하여 사업의 가치를 증가시키는 것으로 알려져 왔으나 투자시기의 결정에 관한 연구는 부족해왔다. 그러므로 본 연구는 투자지연이 유효한 실물자산의 투자에서 합리적인 투자시기의 결정을 위해 투자지연에 의한 사업가치의 증분과 손실회복비용을 옵션 가격결정 및 관련 금융 경제이론에 기반하여 추정하고 이를 수학적 변분원리를 이용하여 최적의 투자시기 탐색을 위한 이론 모델을 구성 한 후 부동산 실물자산인 REITs(Real Estate Investment Trusts)의 사례에 적용 및 분석함으로써 실물자산의 투자시기 결정을 위한 이론적인 틀을 제시하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.117-123
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• 2020

The objective of this study is to examine whether the four-factor model explains variation in the expected return of stocks on the Stock Exchange of Thailand. The study used individual monthly data for all stock with continuous trading on the Stock Exchange of Thailand. The study used sample data of 429 listed stocks to construct 8 portfolios bases on the industries. In this study, subject to market factors such as size, the book-to-market ratio, the market beta, and stock liquidity are taken into account. The Empirical analysis reveals that not all of the variables included in the four-factor asset pricing model are statistically significant to do affect the formation of the rate of return on stocks calculated on a monthly basis. The result shows that market beta, stock liquidity, and the book-to-market ratio has a significant increase in the rate of return on shares listed on the Consumer Products. It is therefore apparent that at least in respect of monthly analysis, the predictions of bass models in the field of modern finance theory systematic risk measured by the beta coefficient did play a significantly important role in the formation of the rate of return on the Stock Exchange of Thailand.

• The Journal of Asian Finance, Economics and Business
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• 제5권1호
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• pp.11-16
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• 2018

This research examines the alternative ways of estimating the coefficient of non-diversifiable risk, namely beta coefficient, in Capital Asset Pricing Model (CAPM) introduced by Sharpe (1964) that is an essential element of assessing the value of diverse assets. The non-parametric methods used in this research are the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator). The Jackknife, the resampling technique, is also employed to validate the results. According to finance literature and common practices, these coecients have often been estimated using Ordinary Least Square (LS) regression method and monthly return data set. The empirical results of this research pointed out that the robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) performed much better than Ordinary Least Square (LS) in terms of eciency for large-cap stocks trading actively in the United States markets. Interestingly, the empirical results also showed that daily return data would give more accurate estimation than monthly return data in both Ordinary Least Square (LS) and robust Least Trimmed Square (LTS) and Maximum likelihood type of M-estimator (MM-estimator) regressions.

• 재무관리연구
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• 제20권1호
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• pp.305-329
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• 2003

본 연구는 1987년 1월 5일부터 2001년 12월 28일까지의 일별 및 월별 자료를 가지고 미국 달러화와 일본 엔화가 기업의 주식수익률에 미치는 영향 및 비대칭성을 분석하였다. 일별 자료에 대해서는 오차항의 이분산을 고려해 자기회귀와 GARCH 계열 모형을 사용하였으며, 월별 자료에 대해서는 자기회귀모형을 사용했다. 전체기간 및 하위기간에 대한 분석결과는 일별 자료가 월별 자료에 비해 환노출을 발견하는 데 보다 탁월하다는 것을 보여주고 있다. 또한 EGARCH(1, 1)와 GJR-GARCH(1, 1)로 일별 자료를 분석하는 것이 보다 높은 설명력을 갖는 것으로 나타났다. 한편, 노출된 기업의 대부분에서 음의 환노출이 발견되고 있다. 이는 우리나라 기업의 주식수익률은 환율인상에 대해서는 부정적 영향을, 환율인하에 대해서는 긍정적 영향을 받는 것으로 해석할 수 있다. 비대칭성에 대한 분석 결과는 우리나라 기업은 대부분 비대칭적 환노출에 직면하고 있으며, 실물옵션이론보다는 시장중시가격이론이 보다 설득력이 있다는 결론을 제시해주고 있다. 또한 월별 자료가 일별 자료에 비해 비대칭 분석을 정확히 할 수 있는 것도 발견되었다.