• Title/Summary/Keyword: securities

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A PREPAYMENT-RISK-NEUTRAL PRICING MODEL FOR MORTGAGE-BACKED SECURITIES

  • Ahn, Seryoong;Song, Wan Young;Yoon, Ji-Hun
    • Korean Journal of Mathematics
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    • v.29 no.2
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    • pp.409-424
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    • 2021
  • In this paper, we investigate a pricing model for mortgage-backed securities (MBSs) of a pay-through type of collateral mortgage obligation (CMO), embedded call options, which can be exercised by the intermediary, and pass-through MBSs. We suggest a prepayment-risk-neutral pricing model, applying a reduced-form prepayment rate model, and then compute and investigate the appropriate prices and spreads in the coupon rates between CMOs and PT MBSs. We believe that this study contributes in that it provides a sophisticated pricing model for MBSs, especially to the financial markets which are not advanced enough to finance with a simple type of MBSs.

EFFICIENT AND ACCURATE FINITE DIFFERENCE METHOD FOR THE FOUR UNDERLYING ASSET ELS

  • Hwang, Hyeongseok;Choi, Yongho;Kwak, Soobin;Hwang, Youngjin;Kim, Sangkwon;Kim, Junseok
    • The Pure and Applied Mathematics
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    • v.28 no.4
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    • pp.329-341
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    • 2021
  • In this study, we consider an efficient and accurate finite difference method for the four underlying asset equity-linked securities (ELS). The numerical method is based on the operator splitting method with non-uniform grids for the underlying assets. Even though the numerical scheme is implicit, we solve the system of discrete equations in explicit manner using the Thomas algorithm for the tri-diagonal matrix resulting from the system of discrete equations. Therefore, we can use a relatively large time step and the computation of the ELS option pricing is fast. We perform characteristic computational test. The numerical test confirm the usefulness of the proposed method for pricing the four underlying asset equity-linked securities.

Fast Detection of Copy Move Image using Four Step Search Algorithm

  • Shin, Yong-Dal;Cho, Yong-Suk
    • Journal of Korea Multimedia Society
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    • v.21 no.3
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    • pp.342-347
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    • 2018
  • We proposed a fast detection of copy-move image forgery using four step search algorithm in the spatial domain. In the four-step search algorithm, the search area is 21 (-10 ~ +10), and the number of pixels to be scanned is 33. Our algorithm reduced computational complexity more than conventional copy move image forgery methods. The proposed method reduced 92.34 % of computational complexity compare to exhaustive search algorithm.

Effects of Security Design and Investor Utilities on the Valuation of Mortgage-Backed Securities (MBS의 발행구조, 가치평가 몇 투자자 특성에 관한 연구)

  • Yoo, Jin
    • The Korean Journal of Financial Management
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    • v.22 no.1
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    • pp.147-179
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    • 2005
  • It is frequently said that mortgage-backed securities (MBS) of different security designs are issued in an attempt to meet the varying needs and expectations of investors. If this is true indeed, MBS of complicated risk-return characteristics are likely to be priced higher than MBS of simple risk-return characteristics we. We test this implication by establishing a recombining binomial interest rate prepayment model with a burnout effect embedded. More specifically, we compare the relative values (utilities) of a pass-through and a PAC- Support collateralized mortgage obligation(CMO), and theoretically show why and how the CMO is more highly valued than is the pass-through. The model is established such that mortgage prepayment is a function of the current value of, and the past path of, the mort-gage market rate. Since we work on not the total value of the two MBS but the value of each tranche of either MBS, the test results could be robust to slightly different versions of similar tests, which may be done in the future.

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A Study of the Next Generation STOCK-NETWORK and Design (차세대 증권전산망(STOCK-NET)의 연구와 설계)

  • Ha, Sung-Yong;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.5
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    • pp.95-102
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    • 2008
  • The next generation network preparation of stock computer network designated to facilities and goal facilities-based national main information communication certainly necessary for 'national competitiveness enhancement and national economic strength elevations'. This paper studies current government policy and network, security and securities computer network, and substitute for securities computer network-based the existing SONET/SDH, and next generation securities computer network designs so as to provide ALL-IP service-based MPLS for international GMG service. Set up stability, standardization, security, a basis of and compare is current next generation securities computer network by each bases in case of designs. Analyze an expected effect to have been improved at next generation stock computer network characteristics and merits and substitution width and QoS, communication instrument liquor, an information protection system etc. too. Result of research of this paper will contribute to national competitiveness enhancement and a national economic strength elevation to accomplish u-Korea.

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A COMPARISON STUDY OF EXPLICIT AND IMPLICIT NUMERICAL METHODS FOR THE EQUITY-LINKED SECURITIES

  • YOO, MINHYUN;JEONG, DARAE;SEO, SEUNGSUK;KIM, JUNSEOK
    • Honam Mathematical Journal
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    • v.37 no.4
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    • pp.441-455
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    • 2015
  • In this paper, we perform a comparison study of explicit and implicit numerical methods for the equity-linked securities (ELS). The option prices of the two-asset ELS are typically computed using an implicit finite diffrence method because an explicit finite diffrence scheme has a restriction for time steps. Nowadays, the three-asset ELS is getting popularity in the real world financial market. In practical applications of the finite diffrence methods in computational finance, we typically use relatively large space steps and small time steps. Therefore, we can use an accurate and effient explicit finite diffrence method because the implementation is simple and the computation is fast. The computational results demonstrate that if we use a large space step, then the explicit scheme is better than the implicit one. On the other hand, if the space step size is small, then the implicit scheme is more effient than the explicit one.

The Effect of Debt Capacity on the Pecking Order Theory of Fisheries Firms' Capital Structure (수산기업의 부채수용력이 자본조달순서이론에 미치는 영향)

  • Nam, Soo-Hyun;Kim, Sung-Tae
    • The Journal of Fisheries Business Administration
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    • v.45 no.3
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    • pp.55-69
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    • 2014
  • We try to test the pecking order theory of Korean fisheries firm's capital structure using debt capacity. At first, we estimate the debt capacity as the probability of assigning corporate bond rating from credit-rating agencies. We use logit regression model to estimate this probability as a proxy of debt capacity. The major results of this study are as follows. Firstly, we can confirm the fisheries firm's financing behaviour which issues new debt securities for financial deficit. Empirical test of SSM model indicates that the higher probability of assigning corporate bond rating, the higher the coefficient of financial deficit. Especially, high probability group follows this result exactly. Therefore, the pecking order theory of fisheries firm's capital structure applies well for high probability group which means high debt capacity. It also applies for medium and low probability group, but their significances are not good. Secondly, the most of fisheries firms in high probability group issue new debt securities for their financial deficit. Low probability group's fisheries firms also issue new debt securities for their financial deficit within the limit of their debt capacity, but beyond debt capacity they use equity financing for financial deficit. Therefore, the pecking order theory on debt capacity come into existence well in high probability group.

Profitability and the Distance to Default: Evidence from Vietnam Securities Market

  • VU, Van Thuy Thi;DO, Nhung Hong;DANG, Hung Ngoc;NGUYEN, Tram Ngoc
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.4
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    • pp.53-63
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    • 2019
  • The paper examines the influence of profitability on distance to default (DD) in Vietnam securities market. The investigated sample consists of 211 companies listed on HOSE during 18 years from 2010 to 2017. We apply KMV model to calculate distance to default and use both macroeconomics factors and firm specific factors as independent variables. Using General Least Squared (GLS) method, we find evidence to confirm the positive relationship between profitability and distance to default. This result showed that, although profitability did not directly reflect the cash flow generated, a good profitable enterprise would be an important factor to help facilitate and generate cash flow and at the same time debt was guaranteed when it was due. Besides, the test results revealed that the financial structure and sales on assets have the inverse effect on the distance to default at the significance level of 5%. The results also revealed that a group of macro factors had an influence on the distance to default of businesses, including spread, GDP and trade balance (via exchange rates). Gross domestic income had certain impacts on the distance to default of businesses. This was also a basic indicator measuring the national economic cycle.

The Usefulness of Other Comprehensive Income for Predicting Future Earnings

  • LEE, Joonil;LEE, Su Jeong;CHOI, Sera;KIM, Seunghwan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.5
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    • pp.31-40
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    • 2020
  • This study investigates whether other comprehensive income (OCI) reported in the statement of comprehensive income (one of the main financial statements after the adoption of K-IFRS) predicts a firm's future performance. Using the quarterly data of Korean listed companies, we examine the association between OCI estimates and future earnings. First of all, we find that OCI is positively associated with earnings in both 1- and 2-quarter ahead, supporting the predictive value of OCI. When we break down OCI into its individual components, our results suggest that the net unrealized gains/losses on available-for-sale (AFS) investment securities are positively associated with future earnings, while the other components (e.g., net unrealized gains/losses on valuation of cash flow hedge derivatives) present insignificant results. In addition, we investigate whether the reliability in OCI estimates enhances the predictive value of OCI to predict future performance. We find that the predictive ability of OCI, in particular the net unrealized gains/losses on available-for-sale (AFS) investment securities, becomes more pronounced when firms are audited by the Big 4 audit firms. Overall, our study suggests that information content embedded in OCI can provide decision-useful information that is helpful for the prediction of future firm performance.