The price density function, a tool for measuring investment risk,volatility a...Tinashe Mangoro
In this paper I derive a density function for describing the distribution of an investment;s price.From that function I then go on to show how we can use it to calculate volatility, interest rate averages and also hedging risk againist interest rate movements.
The price density function, a tool for measuring investment risk,volatility a...Tinashe Mangoro
In this paper I derive a density function for describing the distribution of an investment;s price.From that function I then go on to show how we can use it to calculate volatility, interest rate averages and also hedging risk againist interest rate movements.
Abstract. Regulations of the market require disclosure of information about the nature and extent of risks arising from the trades of the market instruments. There are several significant drawbacks in fixed income pricing modeling. In this paper we interpret a corporate bond price as a random variable. In this case the spot price does not a complete characteristic of the price. The price should be specified by the spot price as well as its value of market risk. This interpretation is similar to a random variable in Probability Theory where an estimate of the random variable completely defined by its cumulative distribution function. The buyer market risk is the value of the chance that the spot price is higher than it is implied by the market scenarios. First we quantify credit risk of the corporate bonds and then consider marked-to-market pricing adjustment to bond price. In the case when issuer of the corporate bond is the counterparty of the bond buyer counterparty and credit risks are coincide.
In this short notice, we present structure of the perfect hedging. Closed form formulas clarify the fact that Black-Scholes (BS) portfolio which provides perfect hedge only at initial moment. Holding portfolio over a certain period implies additional cash flow, which could not be imbedded in BS pricing scheme, and therefore BS option price cannot be derived without additional cash flow which affects BS option price.
Interactive Visualization in Human Time -StampedeCon 2015StampedeCon
At the StampedeCon 2015 Big Data Conference: Visualizing large amounts of data interactively can stress the limits of computer resources and human patience. Shaping data and the way it is viewed can allow exploration of large data sets interactively. Here we will look at how to generate a large amount of data and to organize it so that it can be explored interactively. We will use financial engineering as a platform to show approaches to making the large amount of data viewable.
Many techniques in financial engineering utilize a co-variance matrix. A co-variance matrix contains the square of the number of individual data series. Interacting with this data might require generating the matrix for thousands to millions of different starting and ending time combinations. We explore aggregation techniques to visualize this data interactively without spending more time than is available nor using more storage than can be found.
Basic concepts and how to measure price volatility
Presented by Carlos Martins-Filho at the AGRODEP Workshop on Analytical Tools for Food Prices
and Price Volatility
June 6-7, 2011 • Dakar, Senegal
For more information on the workshop or to see the latest version of this presentation visit: http://www.agrodep.org/first-annual-workshop
Abstract. Regulations of the market require disclosure of information about the nature and extent of risks arising from the trades of the market instruments. There are several significant drawbacks in fixed income pricing modeling. In this paper we interpret a corporate bond price as a random variable. In this case the spot price does not a complete characteristic of the price. The price should be specified by the spot price as well as its value of market risk. This interpretation is similar to a random variable in Probability Theory where an estimate of the random variable completely defined by its cumulative distribution function. The buyer market risk is the value of the chance that the spot price is higher than it is implied by the market scenarios. First we quantify credit risk of the corporate bonds and then consider marked-to-market pricing adjustment to bond price. In the case when issuer of the corporate bond is the counterparty of the bond buyer counterparty and credit risks are coincide.
In this short notice, we present structure of the perfect hedging. Closed form formulas clarify the fact that Black-Scholes (BS) portfolio which provides perfect hedge only at initial moment. Holding portfolio over a certain period implies additional cash flow, which could not be imbedded in BS pricing scheme, and therefore BS option price cannot be derived without additional cash flow which affects BS option price.
Interactive Visualization in Human Time -StampedeCon 2015StampedeCon
At the StampedeCon 2015 Big Data Conference: Visualizing large amounts of data interactively can stress the limits of computer resources and human patience. Shaping data and the way it is viewed can allow exploration of large data sets interactively. Here we will look at how to generate a large amount of data and to organize it so that it can be explored interactively. We will use financial engineering as a platform to show approaches to making the large amount of data viewable.
Many techniques in financial engineering utilize a co-variance matrix. A co-variance matrix contains the square of the number of individual data series. Interacting with this data might require generating the matrix for thousands to millions of different starting and ending time combinations. We explore aggregation techniques to visualize this data interactively without spending more time than is available nor using more storage than can be found.
Basic concepts and how to measure price volatility
Presented by Carlos Martins-Filho at the AGRODEP Workshop on Analytical Tools for Food Prices
and Price Volatility
June 6-7, 2011 • Dakar, Senegal
For more information on the workshop or to see the latest version of this presentation visit: http://www.agrodep.org/first-annual-workshop
ParcelCommerce is a carefully developed ecommerce solutions tailored to the unique requirements of courier companies.
We’ll deliver a fully integrated business portal that will act as the focal point of all your business activities.
Simplified User Interface
Multi-courier Integration
Pricing & Margins Management
Orders Management
Reporting & Analysis
Flowers at Freedom Park (Funeral Season)Inew Mediaorg
Funeral Season is a time to remember and celebrate deceased loved ones. Giving flowers is a symbol of love and respect.
Freedom Park at Carbon Market in Cebu, Philippines displays an array of local and imported flowers.
Flowers at Freedom Park Carbon Market CebuInew Mediaorg
Carbon Market in Cebu displays an array of flowers for the Funeral Season. Ranging from local to imported, shoppers can buy arranged flowers or they can also make their DIY flower creations.
Las ciudades y sus altos indices de produccion de basuras y residuos, al igual que el mal uso de los espacios publicos, deforestacion de onas y malas inversiones en Colombia.
On Twisted Paraproducts and some other Multilinear Singular IntegralsVjekoslavKovac1
Presentation.
9th International Conference on Harmonic Analysis and Partial Differential Equations, El Escorial, June 12, 2012.
The 24th International Conference on Operator Theory, Timisoara, July 3, 2012.
In this paper we show how the ambiguities in derivation of the BSE can be eliminated.
We pay attention to option as a hedging instrument and present definition of the option price based on market risk weighting. In such approach we define random market price for each market scenario. The spot price then is interpreted as a one that reflect balance between profit-loss expectations of the market participants
. In some papers it have been remarked that derivation of the Black Scholes Equation (BSE) contains mathematical ambiguities. In particular in [2,3 ] there are two problems which can be raise by accepting Black Scholes (BS) pricing concept. One is technical derivation of the BSE and other the pricing definition of the option.
In this paper, we show how the ambiguities in derivation of the BSE can be eliminated.
We pay attention to option as a hedging instrument and present definition of the option price based on market risk weighting. In such approach, we define random market price for each market scenario. The spot price then is interpreted as a one that reflects balance between profit-loss expectations of the market participants.
In this paper, it is shown how the ambiguities in derivation of the BSE can be eliminated.
We pay attention to option as a hedging instrument and present definition of the option price based on market risk weighting. In such approach, we define random market price for each market scenario. The spot price then is interpreted as a one that reflects balance between profit-loss expectations of the market participants.
In this paper, we show how the ambiguities in derivation of the BSE can be eliminated.
We pay attention to option as a hedging instrument and present definition of the option price based on market risk weighting. In such approach, we define random market price for each market scenario. The spot price then is interpreted as a one that reflects balance between profit-loss expectations of the market participants.
In this paper, we show how the ambiguities in derivation of the BSE can be eliminated.
We pay attention to option as a hedging instrument and present definition of the option price based on market risk weighting. In such approach, we define random market price for each market scenario. The spot price then is interpreted as a one that reflects balance between profit-loss expectations of the market participants.
Slides FIS5.pdfOutline1 Fixed Income DerivativesThe .docxbudabrooks46239
Slides FIS5.pdf
Outline
1 Fixed Income Derivatives
The Forward-Risk Adjusted Measure
2 Example
Dr Lara Cathcart () 2015 2 / 28
The problem
Consider a fixed-income derivative with a single payo↵ at time T which depends
on the term-structure. In particular, we will look at options on zero-coupon
bonds. For a call option on a zero-coupon bond maturing at time T
1
, the time T
payo↵ and hence the value of the derivative is given by
V
T
= max(P(T, T
1
) � K, 0) (1)
Dr Lara Cathcart () 2015 3 / 28
The problem
By the no-arbitrage theorem, the price today (t=0)is
V
0
= EQ
0
[e�
R
T
0
rsds
V
T
] (2)
where the expectation is taken under the risk-neutral distribution (also called the
Q measure). Thus the price depends on the stochastic process for the short rate
and the contractual specification of the security (i.e how the payo↵ is linked to the
term structure).
Dr Lara Cathcart () 2015 4 / 28
The problem
The price V
0
in equation (2) is given by the expectation of the product of two
dependent random variables, and calculating this expectation is often quite
di�cult. The purpose of this note is presenting a change-of measure technique
which considerably simplifies the evaluation of V
0
.
Dr Lara Cathcart () 2015 5 / 28
The problem
Specifically we are going to calculate V
0
as
V
0
= P(0, T)EQ
T
0
(V
T
) (3)
where QT is a new probability measure (distribution), the so-called forward-risk
adjusted measure. This technique was introduced in the fixed-income literature by
Jamishidian (1991).
Dr Lara Cathcart () 2015 6 / 28
Model setup and notation
Our term-structure is a general one-factor HJM model see Heath, Jarrow and
Morton (1992). Under the Q-measure, forwards rates are governed by
df (t, T) = ��(t, T)�
P
(t, T)dt + �(t, T)dW Q
t
(4)
where
�
P
(t, T) = �
Z
T
t
�(t, u)du (5)
Dr Lara Cathcart () 2015 7 / 28
The problem
Bond prices evolve according to the SDE
dP(t, T) = r
t
P(t, T)dt + �
P
(t, T)P(t, T)dW Q
t
(6)
so �
P
(t, T) is the time t volatility of the zero maturing at time T.
Dr Lara Cathcart () 2015 8 / 28
The Forward-Risk Adjusted Measure
The price of derivative security follows the SDE
dV
t
= r
t
V
t
dt + �
V
(t)V
t
dW
Q
t
(7)
This means that, under the risk-neutral distribution, the expected rate of return
equals the short rate (just like any other security), and the return volatility is
�
V
(t). So far neither V
t
nor �
V
(t) are known, but this is not essential for the
following arguments. In fact, the only thing that matters is that the process has
the form (7) since this facilitates pricing by the forward-risk adjusted measure.
Dr Lara Cathcart () 2015 9 / 28
The Forward-Risk Adjusted Measure
We begin by defining the deflated price process
F
t
⌘ V
t
/P(t, T) (8)
for t 2 [0, T]. We can interpret F
t
as the price of V
t
in units of the T-maturity
bond price (i.e., as a relative price).
Dr Lara Cathcart () 2015 10 / 28
The Forward-Ri.
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
how to swap pi coins to foreign currency withdrawable.DOT TECH
As of my last update, Pi is still in the testing phase and is not tradable on any exchanges.
However, Pi Network has announced plans to launch its Testnet and Mainnet in the future, which may include listing Pi on exchanges.
The current method for selling pi coins involves exchanging them with a pi vendor who purchases pi coins for investment reasons.
If you want to sell your pi coins, reach out to a pi vendor and sell them to anyone looking to sell pi coins from any country around the globe.
Below is the contact information for my personal pi vendor.
Telegram: @Pi_vendor_247
how to sell pi coins in all Africa Countries.DOT TECH
Yes. You can sell your pi network for other cryptocurrencies like Bitcoin, usdt , Ethereum and other currencies And this is done easily with the help from a pi merchant.
What is a pi merchant ?
Since pi is not launched yet in any exchange. The only way you can sell right now is through merchants.
A verified Pi merchant is someone who buys pi network coins from miners and resell them to investors looking forward to hold massive quantities of pi coins before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
The Evolution of Non-Banking Financial Companies (NBFCs) in India: Challenges...beulahfernandes8
Role in Financial System
NBFCs are critical in bridging the financial inclusion gap.
They provide specialized financial services that cater to segments often neglected by traditional banks.
Economic Impact
NBFCs contribute significantly to India's GDP.
They support sectors like micro, small, and medium enterprises (MSMEs), housing finance, and personal loans.
what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
how can I sell pi coins after successfully completing KYCDOT TECH
Pi coins is not launched yet in any exchange 💱 this means it's not swappable, the current pi displaying on coin market cap is the iou version of pi. And you can learn all about that on my previous post.
RIGHT NOW THE ONLY WAY you can sell pi coins is through verified pi merchants. A pi merchant is someone who buys pi coins and resell them to exchanges and crypto whales. Looking forward to hold massive quantities of pi coins before the mainnet launch.
This is because pi network is not doing any pre-sale or ico offerings, the only way to get my coins is from buying from miners. So a merchant facilitates the transactions between the miners and these exchanges holding pi.
I and my friends has sold more than 6000 pi coins successfully with this method. I will be happy to share the contact of my personal pi merchant. The one i trade with, if you have your own merchant you can trade with them. For those who are new.
Message: @Pi_vendor_247 on telegram.
I wouldn't advise you selling all percentage of the pi coins. Leave at least a before so its a win win during open mainnet. Have a nice day pioneers ♥️
#kyc #mainnet #picoins #pi #sellpi #piwallet
#pinetwork
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
USDA Loans in California: A Comprehensive Overview.pptxmarketing367770
USDA Loans in California: A Comprehensive Overview
If you're dreaming of owning a home in California's rural or suburban areas, a USDA loan might be the perfect solution. The U.S. Department of Agriculture (USDA) offers these loans to help low-to-moderate-income individuals and families achieve homeownership.
Key Features of USDA Loans:
Zero Down Payment: USDA loans require no down payment, making homeownership more accessible.
Competitive Interest Rates: These loans often come with lower interest rates compared to conventional loans.
Flexible Credit Requirements: USDA loans have more lenient credit score requirements, helping those with less-than-perfect credit.
Guaranteed Loan Program: The USDA guarantees a portion of the loan, reducing risk for lenders and expanding borrowing options.
Eligibility Criteria:
Location: The property must be located in a USDA-designated rural or suburban area. Many areas in California qualify.
Income Limits: Applicants must meet income guidelines, which vary by region and household size.
Primary Residence: The home must be used as the borrower's primary residence.
Application Process:
Find a USDA-Approved Lender: Not all lenders offer USDA loans, so it's essential to choose one approved by the USDA.
Pre-Qualification: Determine your eligibility and the amount you can borrow.
Property Search: Look for properties in eligible rural or suburban areas.
Loan Application: Submit your application, including financial and personal information.
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USDA loans are an excellent option for those looking to buy a home in California's rural and suburban areas. With no down payment and flexible requirements, these loans make homeownership more attainable for many families. Explore your eligibility today and take the first step toward owning your dream home.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Card
CME Deliverable Interest Rate Swap Future
1. CME Deliverable Interest Rate Swap Future
Convexity corrections in HJM one factor model
Gary J. Kennedy
ClarusFT Consulting
October 7, 2012
2. CME Deliverable Interest Rate Swap Future
The contract specifications are defined in [CME12].
Key highlights are;
Delivers a OTC swap which is to be cleared with CME
The fixed rate of the swap is set by CME when the contract is
listed
The price is 100 points + NPV of swap (each contract has a
notional of $100,000)
Futures style margining
The margining will introduce a convexity correction which is worth
investigating; problems have arisen recently on swap futures when
the effect of margining is not well understood [CMY11, Pen11].
Results similar to those found on existing cash settled swap futures
can be established, although we need to account for the
multi-curve pricing.
3. CME Deliverable Interest Rate Swap Future
The value of the contract (on a notional of 1) on the last trading
day, θ, is
n m
P D (θ, ti ) P D (θ, τj ) P k (θ, τj−1 )
Vθ = 1 + K ai − −1
P D (θ, t0 ) P D (θ, t0 ) P k (θ, τj )
i=1 j=1
where, P D (t, T ) is the discount factor at time t for a payment at
T , t0 denotes the settlement day, {ti : 1 = 1, ..., n} are the
payment dates on the fixed leg of the swap, whilst ai denotes the
fixed rate coupon accrual lengths paying at ti , and K is the fixed
rate of the swap. {τj : 1 = 1, ..., m} are the payment dates on the
float leg of the swap, and τ0 := t0 for convenience.
4. Connection to Bond Futures
P k (t,u) k
D
P (t,u)
Using the assumptions from [Hen10], P k (t,v )
= βt (u, v ) P D (t,v ) ,
k k
and βt (u, v ) = β0 (u, v )
n m
P D (θ, ti ) P D (θ, τj ) P k (θ, τj−1 )
Vθ =1 + K ai − −1
P D (θ, t0 ) P D (θ, t0 ) P k (θ, τj )
i=1 j=1
n
P D (θ, ti) P D (θ, τm)
=K ai D (θ, t )
+ D (θ, t )
+ 1 − β k (τ0 , τ1 )
P 0 P 0
i=1
m
P D (θ, τj−1 )
+ 1 − β k (τj−1 , τj )
P D (θ, τ0 )
j=2
The first two terms are the value of a notional bond future (and
NYSE Liffe’s SwapNote product). The last two terms are small but
necessary adjustments to account for the two curve pricing of the
underlying swap.
5. Preliminaries
Lemma 1
Let 0 ≤ t ≤ u ≤ v and u ≤ w . In the HJM one factor model, the
ratio of two discount bonds is given by;
u u
P D (u, w ) P D (t, w ) 1
= D ξ(t) exp µ(s)dWs − µ2 (s)ds
P D (u, v ) P (t, v ) t 2 t
where,
u
ln ξ(t) = ln ξ(t, u, v , w ) = ν(s, v ) (ν(s, v ) − ν(s, w )) ds
t
and µ(s) = ν(s, w ) − ν(s, v )
Proof.
See [Ken10, Hen10].
6. Main Result1
Theorem 2
Let 0 ≤ t < θ ≤ t0 < ti for i = 1, ..., n and t0 = τ0 < τj for
j = 1, ..., m. In the HJM one-factor model, the price of CME
deliverable swap future is given by;
n
P D (t, ti )
1+K ai ξi (t)
P D (t, t0 )
i=1
m
P D (t, τj−1 ) P D (t, τj )
− β k (τj−1 , τj ) ξj−1 (t) − D ξj (t)
P D (t, t0 ) P (t, t0 )
j=1
θ
where, ln ξi (t) = ln ξ(t, θ, t0 , ti ) = t ν(s, t0 ) (ν(s, t0 ) − ν(s, ti )) ds
Proof.
[HK04] and Lemma 1
1
Similar result was independently established in [Hen12]
7. Bibliography I
CME, Deliverable interest rate swap future,
http://www.cmegroup.com/trading/interest-rates/
deliverable-interest-rate-swap-futures.html (2012).
R. Cont, R. Mondescu, and Y. Yu, Central clearing of interest
rate swaps: A comparison of offerings, Available at SSRN:
http://papers.ssrn.com/sol3/papers.cfm?abstract_
id=1783798 (2011).
Marc Henrard, Bonds futures and their options: More than the
cheapest-to-deliver; quality option and margining, Journal of
Fixed Income 16 (2006), no. 2, 62–75.
, The irony in derivatives discounting part ii: The
crisis, Wilmott Journal 2 (2010), no. 6, 301–316.
8. Bibliography II
, Deliverable interest rate swap futures: Pricing in
Gaussian HJM model, Available at SSRN: http://papers.
ssrn.com/sol3/papers.cfm?abstract_id=2154429
(2012).
Phil Hunt and Joanne Kennedy, Financial derivatives in theory
and practice, vol. 555, Wiley, 2004.
Gary J. Kennedy, Swap futures in HJM one-factor model,
Available at SSRN: http://ssrn.com/abstract=1648419
(2010).
Mark Pengelly, Margin minutiae at issue in Jefferies v IDCG
suit, Risk Magazine (Nov) (2011).